mirror of
https://github.com/paboyle/Grid.git
synced 2024-11-10 15:55:37 +00:00
25d523c0f4
Need to audit code carefully, consolidate between stencil and cshift, and then benchmark and optimise.
263 lines
7.7 KiB
C++
263 lines
7.7 KiB
C++
#ifndef GRID_MATH_TENSORS_H
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#define GRID_MATH_TENSORS_H
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namespace Grid {
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///////////////////////////////////////////////////
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// Scalar, Vector, Matrix objects.
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// These can be composed to form tensor products of internal indices.
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///////////////////////////////////////////////////
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// It is useful to NOT have any constructors
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// so that these classes assert "is_pod<class> == true"
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// because then the standard C++ valarray container eliminates fill overhead on new allocation and
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// non-move copying.
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//
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// However note that doing this eliminates some syntactical sugar such as
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// calling the constructor explicitly or implicitly
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//
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#define TENSOR_IS_POD
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template<class vtype> class iScalar
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{
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public:
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vtype _internal;
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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>::tensor_reduced tensor_reduced_v;
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typedef iScalar<tensor_reduced_v> tensor_reduced;
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typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
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typedef iScalar<recurse_scalar_object> scalar_object;
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enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1};
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// Scalar no action
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// template<int Level> using tensor_reduce_level = typename iScalar<GridTypeMapper<vtype>::tensor_reduce_level<Level> >;
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#ifndef TENSOR_IS_POD
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iScalar(){;};
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iScalar(scalar_type s) : _internal(s) {};// recurse down and hit the constructor for vector_type
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iScalar(const Zero &z){ *this = zero; };
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#endif
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iScalar<vtype> & operator= (const Zero &hero){
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zeroit(*this);
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return *this;
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}
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iScalar<vtype> & operator= (const scalar_type s){
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_internal=s;
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return *this;
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}
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friend void zeroit(iScalar<vtype> &that){
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zeroit(that._internal);
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}
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friend void permute(iScalar<vtype> &out,const iScalar<vtype> &in,int permutetype){
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permute(out._internal,in._internal,permutetype);
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}
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// Unary negation
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friend inline iScalar<vtype> operator -(const iScalar<vtype> &r) {
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iScalar<vtype> ret;
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ret._internal= -r._internal;
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return ret;
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}
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// *=,+=,-= operators inherit from corresponding "*,-,+" behaviour
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inline iScalar<vtype> &operator *=(const iScalar<vtype> &r) {
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*this = (*this)*r;
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return *this;
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}
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inline iScalar<vtype> &operator -=(const iScalar<vtype> &r) {
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*this = (*this)-r;
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return *this;
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}
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inline iScalar<vtype> &operator +=(const iScalar<vtype> &r) {
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*this = (*this)+r;
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return *this;
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}
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inline vtype & operator ()(void) {
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return _internal;
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}
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inline const vtype & operator ()(void) const {
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return _internal;
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}
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// inline vtype && operator ()(void) {
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// return _internal;
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// }
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operator ComplexD () const { return(TensorRemove(_internal)); };
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operator RealD () const { return(real(TensorRemove(_internal))); }
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template<class T,typename std::enable_if<isGridTensor<T>::notvalue, T>::type* = nullptr > inline auto operator = (T arg) -> iScalar<vtype>
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{
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_internal = arg;
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return *this;
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}
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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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///////////////////////////////////////////////////////////
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template<class T> inline typename std::enable_if<isGridTensor<T>::notvalue, T>::type TensorRemove(T arg) { return arg;}
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template<class vtype> inline auto TensorRemove(iScalar<vtype> arg) -> decltype(TensorRemove(arg._internal))
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{
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return TensorRemove(arg._internal);
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}
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template<class vtype,int N> class iVector
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{
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public:
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vtype _internal[N];
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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>::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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enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1};
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#ifndef TENSOR_IS_POD
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iVector(const Zero &z){ *this = zero; };
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iVector() {};// Empty constructure
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#endif
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iVector<vtype,N> & operator= (const Zero &hero){
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zeroit(*this);
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return *this;
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}
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friend void zeroit(iVector<vtype,N> &that){
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for(int i=0;i<N;i++){
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zeroit(that._internal[i]);
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}
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}
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friend void permute(iVector<vtype,N> &out,const iVector<vtype,N> &in,int permutetype){
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for(int i=0;i<N;i++){
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permute(out._internal[i],in._internal[i],permutetype);
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}
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}
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// Unary negation
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friend inline iVector<vtype,N> operator -(const iVector<vtype,N> &r) {
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iVector<vtype,N> ret;
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for(int i=0;i<N;i++) ret._internal[i]= -r._internal[i];
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return ret;
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}
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// *=,+=,-= operators inherit from corresponding "*,-,+" behaviour
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inline iVector<vtype,N> &operator *=(const iScalar<vtype> &r) {
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*this = (*this)*r;
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return *this;
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}
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inline iVector<vtype,N> &operator -=(const iVector<vtype,N> &r) {
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*this = (*this)-r;
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return *this;
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}
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inline iVector<vtype,N> &operator +=(const iVector<vtype,N> &r) {
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*this = (*this)+r;
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return *this;
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}
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inline vtype & operator ()(int i) {
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return _internal[i];
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}
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inline const vtype & operator ()(int i) const {
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return _internal[i];
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}
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// inline vtype && operator ()(int i) {
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// return _internal[i];
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// }
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};
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template<class vtype,int N> class iMatrix
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{
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public:
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vtype _internal[N][N];
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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>::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 iMatrix<recurse_scalar_object,N> scalar_object;
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enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1};
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#ifndef TENSOR_IS_POD
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iMatrix(const Zero &z){ *this = zero; };
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iMatrix() {};
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#endif
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iMatrix<vtype,N> & operator= (const Zero &hero){
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zeroit(*this);
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return *this;
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}
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template<class T,typename std::enable_if<isGridTensor<T>::notvalue, T>::type* = nullptr > inline auto operator = (T arg) -> iMatrix<vtype,N>
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{
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zeroit(*this);
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for(int i=0;i<N;i++)
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_internal[i][i] = arg;
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return *this;
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}
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friend void zeroit(iMatrix<vtype,N> &that){
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for(int i=0;i<N;i++){
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for(int j=0;j<N;j++){
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zeroit(that._internal[i][j]);
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}}
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}
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friend void permute(iMatrix<vtype,N> &out,const iMatrix<vtype,N> &in,int permutetype){
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for(int i=0;i<N;i++){
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for(int j=0;j<N;j++){
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permute(out._internal[i][j],in._internal[i][j],permutetype);
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}}
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}
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// Unary negation
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friend inline iMatrix<vtype,N> operator -(const iMatrix<vtype,N> &r) {
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iMatrix<vtype,N> ret;
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for(int i=0;i<N;i++){
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for(int j=0;j<N;j++){
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ret._internal[i][j]= -r._internal[i][j];
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}}
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return ret;
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}
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// *=,+=,-= operators inherit from corresponding "*,-,+" behaviour
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template<class T>
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inline iMatrix<vtype,N> &operator *=(const T &r) {
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*this = (*this)*r;
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return *this;
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}
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template<class T>
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inline iMatrix<vtype,N> &operator -=(const T &r) {
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*this = (*this)-r;
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return *this;
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}
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template<class T>
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inline iMatrix<vtype,N> &operator +=(const T &r) {
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*this = (*this)+r;
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return *this;
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}
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// returns an lvalue reference
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inline vtype & operator ()(int i,int j) {
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return _internal[i][j];
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}
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inline const vtype & operator ()(int i,int j) const {
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return _internal[i][j];
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}
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// inline vtype && operator ()(int i,int j) {
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// return _internal[i][j];
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// }
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};
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}
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#endif
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