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Merge pull request #185 from mmphys/feature/trait-recommend
Recommendations for Traits classes
This commit is contained in:
Peter Boyle
GitHub
commit
a6adb85a1b
@ -10,6 +10,7 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
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Author: Guido Cossu <cossu@iroiro-pc.kek.jp>
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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Author: neo <cossu@post.kek.jp>
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Author: Michael Marshall <michael.marshall@ed.ac.au>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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@ -89,17 +90,25 @@ template <typename Condition, typename ReturnType> using NotEnableIf = Invoke<st
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////////////////////////////////////////////////////////
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// Check for complexity with type traits
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template <typename T> struct is_complex : public std::false_type {};
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template <> struct is_complex<std::complex<double> > : public std::true_type {};
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template <> struct is_complex<std::complex<float> > : public std::true_type {};
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template <> struct is_complex<ComplexD> : public std::true_type {};
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template <> struct is_complex<ComplexF> : public std::true_type {};
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template <typename T> using IfReal = Invoke<std::enable_if<std::is_floating_point<T>::value, int> >;
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template<typename T, typename V=void> struct is_real : public std::false_type {};
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template<typename T> struct is_real<T, typename std::enable_if<std::is_floating_point<T>::value,
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void>::type> : public std::true_type {};
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template<typename T, typename V=void> struct is_integer : public std::false_type {};
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template<typename T> struct is_integer<T, typename std::enable_if<std::is_integral<T>::value,
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void>::type> : public std::true_type {};
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template <typename T> using IfReal = Invoke<std::enable_if<is_real<T>::value, int> >;
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template <typename T> using IfComplex = Invoke<std::enable_if<is_complex<T>::value, int> >;
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template <typename T> using IfInteger = Invoke<std::enable_if<std::is_integral<T>::value, int> >;
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template <typename T> using IfInteger = Invoke<std::enable_if<is_integer<T>::value, int> >;
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template <typename T1,typename T2> using IfSame = Invoke<std::enable_if<std::is_same<T1,T2>::value, int> >;
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template <typename T> using IfNotReal = Invoke<std::enable_if<!std::is_floating_point<T>::value, int> >;
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template <typename T> using IfNotReal = Invoke<std::enable_if<!is_real<T>::value, int> >;
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template <typename T> using IfNotComplex = Invoke<std::enable_if<!is_complex<T>::value, int> >;
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template <typename T> using IfNotInteger = Invoke<std::enable_if<!std::is_integral<T>::value, int> >;
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template <typename T> using IfNotInteger = Invoke<std::enable_if<!is_integer<T>::value, int> >;
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template <typename T1,typename T2> using IfNotSame = Invoke<std::enable_if<!std::is_same<T1,T2>::value, int> >;
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////////////////////////////////////////////////////////
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@ -857,8 +866,10 @@ template <typename T>
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struct is_simd : public std::false_type {};
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template <> struct is_simd<vRealF> : public std::true_type {};
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template <> struct is_simd<vRealD> : public std::true_type {};
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template <> struct is_simd<vRealH> : public std::true_type {};
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template <> struct is_simd<vComplexF> : public std::true_type {};
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template <> struct is_simd<vComplexD> : public std::true_type {};
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template <> struct is_simd<vComplexH> : public std::true_type {};
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template <> struct is_simd<vInteger> : public std::true_type {};
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template <typename T> using IfSimd = Invoke<std::enable_if<is_simd<T>::value, int> >;
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@ -5,6 +5,7 @@ Copyright (C) 2015
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Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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Author: Michael Marshall <michael.marshall@ed.ac.au>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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@ -42,27 +43,26 @@ namespace Grid {
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//
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class GridTensorBase {};
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// Too late to remove these traits from Grid Tensors, so inherit from GridTypeMapper
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#define GridVector_CopyTraits \
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using element = vtype; \
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using scalar_type = typename Traits::scalar_type; \
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using vector_type = typename Traits::vector_type; \
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using vector_typeD = typename Traits::vector_typeD; \
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using tensor_reduced = typename Traits::tensor_reduced; \
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using scalar_object = typename Traits::scalar_object; \
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using Complexified = typename Traits::Complexified; \
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using Realified = typename Traits::Realified; \
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using DoublePrecision = typename Traits::DoublePrecision; \
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static constexpr int TensorLevel = Traits::TensorLevel
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template <class vtype>
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class iScalar {
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public:
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vtype _internal;
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typedef vtype element;
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typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
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typedef typename GridTypeMapper<vtype>::vector_type vector_type;
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typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
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typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
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typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
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typedef iScalar<tensor_reduced_v> tensor_reduced;
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typedef iScalar<recurse_scalar_object> scalar_object;
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// substitutes a real or complex version with same tensor structure
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typedef iScalar<typename GridTypeMapper<vtype>::Complexified> Complexified;
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typedef iScalar<typename GridTypeMapper<vtype>::Realified> Realified;
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// get double precision version
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typedef iScalar<typename GridTypeMapper<vtype>::DoublePrecision> DoublePrecision;
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enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
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using Traits = GridTypeMapper<iScalar<vtype> >;
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GridVector_CopyTraits;
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// Scalar no action
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// template<int Level> using tensor_reduce_level = typename
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@ -173,7 +173,10 @@ class iScalar {
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return stream;
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};
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strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(&_internal); }
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strong_inline scalar_type * begin() { return reinterpret_cast< scalar_type *>(&_internal); }
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strong_inline const scalar_type * end() const { return begin() + Traits::count; }
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strong_inline scalar_type * end() { return begin() + Traits::count; }
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};
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///////////////////////////////////////////////////////////
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// Allows to turn scalar<scalar<scalar<double>>>> back to double.
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@ -194,21 +197,8 @@ class iVector {
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public:
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vtype _internal[N];
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typedef vtype element;
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typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
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typedef typename GridTypeMapper<vtype>::vector_type vector_type;
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typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
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typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
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typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
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typedef iScalar<tensor_reduced_v> tensor_reduced;
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typedef iVector<recurse_scalar_object, N> scalar_object;
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// substitutes a real or complex version with same tensor structure
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typedef iVector<typename GridTypeMapper<vtype>::Complexified, N> Complexified;
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typedef iVector<typename GridTypeMapper<vtype>::Realified, N> Realified;
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// get double precision version
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typedef iVector<typename GridTypeMapper<vtype>::DoublePrecision, N> DoublePrecision;
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using Traits = GridTypeMapper<iVector<vtype, N> >;
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GridVector_CopyTraits;
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template <class T, typename std::enable_if<!isGridTensor<T>::value, T>::type
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* = nullptr>
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@ -218,7 +208,6 @@ class iVector {
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return *this;
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}
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enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
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iVector(const Zero &z) { *this = zero; };
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iVector() = default;
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/*
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@ -303,6 +292,11 @@ class iVector {
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// strong_inline vtype && operator ()(int i) {
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// return _internal[i];
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// }
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strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(_internal); }
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strong_inline scalar_type * begin() { return reinterpret_cast< scalar_type *>(_internal); }
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strong_inline const scalar_type * end() const { return begin() + Traits::count; }
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strong_inline scalar_type * end() { return begin() + Traits::count; }
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};
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template <class vtype, int N>
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@ -310,25 +304,8 @@ class iMatrix {
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public:
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vtype _internal[N][N];
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typedef vtype element;
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typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
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typedef typename GridTypeMapper<vtype>::vector_type vector_type;
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typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
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typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
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typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
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// substitutes a real or complex version with same tensor structure
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typedef iMatrix<typename GridTypeMapper<vtype>::Complexified, N> Complexified;
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typedef iMatrix<typename GridTypeMapper<vtype>::Realified, N> Realified;
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// get double precision version
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typedef iMatrix<typename GridTypeMapper<vtype>::DoublePrecision, N> DoublePrecision;
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// Tensor removal
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typedef iScalar<tensor_reduced_v> tensor_reduced;
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typedef iMatrix<recurse_scalar_object, N> scalar_object;
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enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
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using Traits = GridTypeMapper<iMatrix<vtype, N> >;
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GridVector_CopyTraits;
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iMatrix(const Zero &z) { *this = zero; };
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iMatrix() = default;
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@ -458,6 +435,11 @@ class iMatrix {
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// strong_inline vtype && operator ()(int i,int j) {
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// return _internal[i][j];
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// }
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strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(_internal[0]); }
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strong_inline scalar_type * begin() { return reinterpret_cast< scalar_type *>(_internal[0]); }
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strong_inline const scalar_type * end() const { return begin() + Traits::count; }
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strong_inline scalar_type * end() { return begin() + Traits::count; }
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};
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template <class v>
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@ -480,6 +462,3 @@ void vprefetch(const iMatrix<v, N> &vv) {
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}
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}
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#endif
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@ -5,6 +5,7 @@
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Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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Author: Christopher Kelly <ckelly@phys.columbia.edu>
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Author: Michael Marshall <michael.marshall@ed.ac.au>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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@ -26,6 +27,17 @@ Author: Christopher Kelly <ckelly@phys.columbia.edu>
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namespace Grid {
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// Forward declarations
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template<class T> class iScalar;
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template<class T, int N> class iVector;
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template<class T, int N> class iMatrix;
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// These are the Grid tensors
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template<typename T> struct isGridTensor : public std::false_type { static constexpr bool notvalue = true; };
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template<class T> struct isGridTensor<iScalar<T>> : public std::true_type { static constexpr bool notvalue = false; };
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template<class T, int N> struct isGridTensor<iVector<T, N>> : public std::true_type { static constexpr bool notvalue = false; };
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template<class T, int N> struct isGridTensor<iMatrix<T, N>> : public std::true_type { static constexpr bool notvalue = false; };
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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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@ -41,24 +53,25 @@ namespace Grid {
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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::vector_typeD vector_typeD;
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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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typedef typename T::Complexified Complexified;
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typedef typename T::Realified Realified;
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typedef typename T::DoublePrecision DoublePrecision;
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enum { TensorLevel = T::TensorLevel };
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// This saves repeating common properties for supported Grid Scalar types
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// TensorLevel How many nested grid tensors
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// Rank Rank of the grid tensor
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// count Total number of elements, i.e. product of dimensions
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// Dimension(dim) Size of dimension dim
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struct GridTypeMapper_Base {
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static constexpr int TensorLevel = 0;
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static constexpr int Rank = 0;
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static constexpr std::size_t count = 1;
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static constexpr int Dimension(int dim) { return 0; }
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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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template<typename T> struct GridTypeMapper {};
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template<> struct GridTypeMapper<RealF> : public GridTypeMapper_Base {
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typedef RealF scalar_type;
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typedef RealF vector_type;
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typedef RealD vector_typeD;
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@ -67,10 +80,8 @@ namespace Grid {
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typedef ComplexF Complexified;
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typedef RealF Realified;
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typedef RealD DoublePrecision;
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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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template<> struct GridTypeMapper<RealD> : public GridTypeMapper_Base {
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typedef RealD scalar_type;
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typedef RealD vector_type;
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typedef RealD vector_typeD;
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@ -79,10 +90,8 @@ namespace Grid {
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typedef ComplexD Complexified;
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typedef RealD Realified;
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typedef RealD DoublePrecision;
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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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template<> struct GridTypeMapper<ComplexF> : public GridTypeMapper_Base {
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typedef ComplexF scalar_type;
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typedef ComplexF vector_type;
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typedef ComplexD vector_typeD;
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@ -91,10 +100,8 @@ namespace Grid {
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typedef ComplexF Complexified;
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typedef RealF Realified;
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typedef ComplexD DoublePrecision;
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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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template<> struct GridTypeMapper<ComplexD> : public GridTypeMapper_Base {
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typedef ComplexD scalar_type;
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typedef ComplexD vector_type;
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typedef ComplexD vector_typeD;
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@ -103,10 +110,8 @@ namespace Grid {
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typedef ComplexD Complexified;
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typedef RealD Realified;
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typedef ComplexD DoublePrecision;
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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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template<> struct GridTypeMapper<Integer> : public GridTypeMapper_Base {
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typedef Integer scalar_type;
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typedef Integer vector_type;
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typedef Integer vector_typeD;
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@ -115,11 +120,9 @@ namespace Grid {
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typedef void Complexified;
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typedef void Realified;
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typedef void DoublePrecision;
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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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template<> struct GridTypeMapper<vRealF> : public GridTypeMapper_Base {
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typedef RealF scalar_type;
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typedef vRealF vector_type;
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typedef vRealD vector_typeD;
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@ -128,10 +131,8 @@ namespace Grid {
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typedef vComplexF Complexified;
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typedef vRealF Realified;
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typedef vRealD DoublePrecision;
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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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template<> struct GridTypeMapper<vRealD> : public GridTypeMapper_Base {
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typedef RealD scalar_type;
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typedef vRealD vector_type;
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typedef vRealD vector_typeD;
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@ -140,10 +141,18 @@ namespace Grid {
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typedef vComplexD Complexified;
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typedef vRealD Realified;
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typedef vRealD DoublePrecision;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<vComplexH> {
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public:
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template<> struct GridTypeMapper<vRealH> : public GridTypeMapper_Base {
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typedef RealF scalar_type;
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typedef vRealH vector_type;
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typedef vRealD vector_typeD;
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typedef vRealH tensor_reduced;
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typedef RealF scalar_object;
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typedef vComplexH Complexified;
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typedef vRealH Realified;
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typedef vRealD DoublePrecision;
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};
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template<> struct GridTypeMapper<vComplexH> : public GridTypeMapper_Base {
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typedef ComplexF scalar_type;
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typedef vComplexH vector_type;
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typedef vComplexD vector_typeD;
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@ -152,10 +161,8 @@ namespace Grid {
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typedef vComplexH Complexified;
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typedef vRealH Realified;
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typedef vComplexD DoublePrecision;
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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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template<> struct GridTypeMapper<vComplexF> : public GridTypeMapper_Base {
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typedef ComplexF scalar_type;
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typedef vComplexF vector_type;
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typedef vComplexD vector_typeD;
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@ -164,10 +171,8 @@ namespace Grid {
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typedef vComplexF Complexified;
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typedef vRealF Realified;
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typedef vComplexD DoublePrecision;
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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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template<> struct GridTypeMapper<vComplexD> : public GridTypeMapper_Base {
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typedef ComplexD scalar_type;
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typedef vComplexD vector_type;
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typedef vComplexD vector_typeD;
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@ -176,10 +181,8 @@ namespace Grid {
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typedef vComplexD Complexified;
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typedef vRealD Realified;
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typedef vComplexD DoublePrecision;
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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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template<> struct GridTypeMapper<vInteger> : public GridTypeMapper_Base {
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typedef Integer scalar_type;
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typedef vInteger vector_type;
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typedef vInteger vector_typeD;
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@ -188,57 +191,52 @@ namespace Grid {
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typedef void Complexified;
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typedef void Realified;
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typedef void DoublePrecision;
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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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#define GridTypeMapper_RepeatedTypes \
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using BaseTraits = GridTypeMapper<T>; \
|
||||
using scalar_type = typename BaseTraits::scalar_type; \
|
||||
using vector_type = typename BaseTraits::vector_type; \
|
||||
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 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<> struct isGridTensor<int > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
|
||||
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 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<> struct isGridTensor<RealD > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<RealF > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<ComplexD > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<ComplexF > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<Integer > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<vRealD > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<vRealF > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<vComplexD > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<vComplexF > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
};
|
||||
template<> struct isGridTensor<vInteger > {
|
||||
static const bool value = false;
|
||||
static const bool notvalue = true;
|
||||
|
||||
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 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
|
||||
@ -263,19 +261,12 @@ namespace Grid {
|
||||
typedef T type;
|
||||
};
|
||||
|
||||
//Query if a tensor or Lattice<Tensor> is SIMD vector or scalar
|
||||
template<typename T>
|
||||
class isSIMDvectorized{
|
||||
template<typename U>
|
||||
static typename std::enable_if< !std::is_same< typename GridTypeMapper<typename getVectorType<U>::type>::scalar_type,
|
||||
typename GridTypeMapper<typename getVectorType<U>::type>::vector_type>::value, char>::type test(void *);
|
||||
|
||||
template<typename U>
|
||||
static double test(...);
|
||||
|
||||
public:
|
||||
enum {value = sizeof(test<T>(0)) == sizeof(char) };
|
||||
};
|
||||
//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>
|
||||
|
||||
Loading…
Reference in New Issue
Block a user