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mirror of https://github.com/paboyle/Grid.git synced 2025-12-19 20:24:29 +00:00

Merge branch 'develop' into feature/gpu-port

This commit is contained in:
Peter Boyle
2019-07-16 11:55:17 +01:00
274 changed files with 7120 additions and 4663 deletions

View File

@@ -5,6 +5,7 @@ Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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
@@ -21,8 +22,7 @@ See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_MATH_TENSORS_H
#define GRID_MATH_TENSORS_H
#pragma once
NAMESPACE_BEGIN(Grid);
@@ -42,27 +42,26 @@ NAMESPACE_BEGIN(Grid);
//
class GridTensorBase {};
// Too late to remove these traits from Grid Tensors, so inherit from GridTypeMapper
#define GridVector_CopyTraits \
using element = vtype; \
using scalar_type = typename Traits::scalar_type; \
using vector_type = typename Traits::vector_type; \
using vector_typeD = typename Traits::vector_typeD; \
using tensor_reduced = typename Traits::tensor_reduced; \
using scalar_object = typename Traits::scalar_object; \
using Complexified = typename Traits::Complexified; \
using Realified = typename Traits::Realified; \
using DoublePrecision = typename Traits::DoublePrecision; \
static constexpr int TensorLevel = Traits::TensorLevel
template <class vtype>
class iScalar {
public:
vtype _internal;
typedef vtype element;
typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
typedef typename GridTypeMapper<vtype>::vector_type vector_type;
typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
typedef iScalar<tensor_reduced_v> tensor_reduced;
typedef iScalar<recurse_scalar_object> scalar_object;
// substitutes a real or complex version with same tensor structure
typedef iScalar<typename GridTypeMapper<vtype>::Complexified> Complexified;
typedef iScalar<typename GridTypeMapper<vtype>::Realified> Realified;
// get double precision version
typedef iScalar<typename GridTypeMapper<vtype>::DoublePrecision> DoublePrecision;
enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
using Traits = GridTypeMapper<iScalar<vtype> >;
GridVector_CopyTraits;
static accelerator_inline constexpr int Nsimd(void) { return sizeof(vector_type)/sizeof(scalar_type); }
@@ -160,6 +159,10 @@ public:
stream << "S {" << o._internal << "}";
return stream;
};
strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(&_internal); }
strong_inline scalar_type * begin() { return reinterpret_cast< scalar_type *>(&_internal); }
strong_inline const scalar_type * end() const { return begin() + Traits::count; }
strong_inline scalar_type * end() { return begin() + Traits::count; }
};
///////////////////////////////////////////////////////////
@@ -180,35 +183,22 @@ template <class vtype, int N>
class iVector {
public:
vtype _internal[N];
using Traits = GridTypeMapper<iVector<vtype, N> >;
typedef vtype element;
typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
typedef typename GridTypeMapper<vtype>::vector_type vector_type;
typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
typedef iScalar<tensor_reduced_v> tensor_reduced;
typedef iVector<recurse_scalar_object, N> scalar_object;
// substitutes a real or complex version with same tensor structure
typedef iVector<typename GridTypeMapper<vtype>::Complexified, N> Complexified;
typedef iVector<typename GridTypeMapper<vtype>::Realified, N> Realified;
// get double precision version
typedef iVector<typename GridTypeMapper<vtype>::DoublePrecision, N> DoublePrecision;
GridVector_CopyTraits;
static accelerator_inline constexpr int Nsimd(void) { return sizeof(vector_type)/sizeof(scalar_type); }
template <class T, typename std::enable_if<!isGridTensor<T>::value, T>::type * = nullptr>
accelerator_inline auto operator=(T arg) -> iVector<vtype, N> {
strong_inline auto operator=(T arg) -> iVector<vtype, N> {
zeroit(*this);
for (int i = 0; i < N; i++) _internal[i] = arg;
return *this;
}
enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
accelerator_inline iVector(const Zero &z) { zeroit(*this); };
accelerator iVector() = default;
accelerator_inline iVector(const Zero &z) { zeroit(*this); };
accelerator_inline iVector<vtype, N> &operator=(const Zero &hero) {
zeroit(*this);
@@ -281,6 +271,15 @@ public:
stream << "}";
return stream;
};
// strong_inline vtype && operator ()(int i) {
// return _internal[i];
// }
strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(_internal); }
strong_inline scalar_type * begin() { return reinterpret_cast< scalar_type *>(_internal); }
strong_inline const scalar_type * end() const { return begin() + Traits::count; }
strong_inline scalar_type * end() { return begin() + Traits::count; }
};
template <class vtype, int N>
@@ -288,25 +287,9 @@ class iMatrix {
public:
vtype _internal[N][N];
typedef vtype element;
typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
typedef typename GridTypeMapper<vtype>::vector_type vector_type;
typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
using Traits = GridTypeMapper<iMatrix<vtype, N> >;
// substitutes a real or complex version with same tensor structure
typedef iMatrix<typename GridTypeMapper<vtype>::Complexified, N> Complexified;
typedef iMatrix<typename GridTypeMapper<vtype>::Realified, N> Realified;
// get double precision version
typedef iMatrix<typename GridTypeMapper<vtype>::DoublePrecision, N> DoublePrecision;
// Tensor removal
typedef iScalar<tensor_reduced_v> tensor_reduced;
typedef iMatrix<recurse_scalar_object, N> scalar_object;
enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
GridVector_CopyTraits;
static accelerator_inline constexpr int Nsimd(void) { return sizeof(vector_type)/sizeof(scalar_type); }
@@ -428,6 +411,14 @@ public:
return stream;
};
// strong_inline vtype && operator ()(int i,int j) {
// return _internal[i][j];
// }
strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(_internal[0]); }
strong_inline scalar_type * begin() { return reinterpret_cast< scalar_type *>(_internal[0]); }
strong_inline const scalar_type * end() const { return begin() + Traits::count; }
strong_inline scalar_type * end() { return begin() + Traits::count; }
};
template <class v> accelerator_inline
@@ -451,4 +442,3 @@ void vprefetch(const iMatrix<v, N> &vv) {
NAMESPACE_END(Grid);
#endif