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Public Member Functions | Public Attributes | Static Public Attributes | List of all members
internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 > Struct Template Reference

#include <deal.II/matrix_free/tensor_product_kernels.h>

Public Member Functions

 EvaluatorTensorProduct ()
 
 EvaluatorTensorProduct (const AlignedVector< Number2 > &shape_values, const AlignedVector< Number2 > &shape_gradients, const AlignedVector< Number2 > &shape_hessians, const unsigned int n_rows=0, const unsigned int n_columns=0)
 
 EvaluatorTensorProduct (const Number2 *shape_values, const Number2 *shape_gradients, const Number2 *shape_hessians, const unsigned int n_rows=0, const unsigned int n_columns=0)
 
template<int direction, bool contract_over_rows, bool add, int stride = 1>
void values (const Number *in, Number *out) const
 
template<int direction, bool contract_over_rows, bool add, int stride = 1>
void gradients (const Number *in, Number *out) const
 
template<int direction, bool contract_over_rows, bool add>
void hessians (const Number *in, Number *out) const
 
template<int direction, bool contract_over_rows, bool add>
void values_one_line (const Number in[], Number out[]) const
 
template<int direction, bool contract_over_rows, bool add>
void gradients_one_line (const Number in[], Number out[]) const
 
template<int direction, bool contract_over_rows, bool add>
void hessians_one_line (const Number in[], Number out[]) const
 
template<int direction, bool contract_over_rows, bool add, bool one_line = false, EvaluatorQuantity quantity = EvaluatorQuantity::value, int stride = 1>
void apply (const Number2 *DEAL_II_RESTRICT shape_data, const Number *in, Number *out) const
 

Public Attributes

const Number2 * shape_values
 
const Number2 * shape_gradients
 
const Number2 * shape_hessians
 
const unsigned int n_rows
 
const unsigned int n_columns
 

Static Public Attributes

static constexpr unsigned int n_rows_of_product
 
static constexpr unsigned int n_columns_of_product
 

Detailed Description

template<EvaluatorVariant variant, int dim, typename Number, typename Number2>
struct internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >

Internal evaluator for shape function using the tensor product form of the basis functions. The same as the other templated class but without making use of template arguments and variable loop bounds instead.

Template Parameters
dimSpace dimension in which this class is applied
NumberAbstract number type for input and output arrays
Number2Abstract number type for coefficient arrays (defaults to same type as the input/output arrays); must implement operator* with Number and produce Number as an output to be a valid type

Definition at line 1909 of file tensor_product_kernels.h.

Constructor & Destructor Documentation

◆ EvaluatorTensorProduct() [1/3]

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::EvaluatorTensorProduct ( )
inline

Empty constructor. Does nothing. Be careful when using 'values' and related methods because they need to be filled with the other constructor

Definition at line 1920 of file tensor_product_kernels.h.

◆ EvaluatorTensorProduct() [2/3]

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::EvaluatorTensorProduct ( const AlignedVector< Number2 > &  shape_values,
const AlignedVector< Number2 > &  shape_gradients,
const AlignedVector< Number2 > &  shape_hessians,
const unsigned int  n_rows = 0,
const unsigned int  n_columns = 0 
)
inline

Constructor, taking the data from ShapeInfo

Definition at line 1931 of file tensor_product_kernels.h.

◆ EvaluatorTensorProduct() [3/3]

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::EvaluatorTensorProduct ( const Number2 *  shape_values,
const Number2 *  shape_gradients,
const Number2 *  shape_hessians,
const unsigned int  n_rows = 0,
const unsigned int  n_columns = 0 
)
inline

Constructor, taking the data from ShapeInfo

Definition at line 1973 of file tensor_product_kernels.h.

Member Function Documentation

◆ values()

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
template<int direction, bool contract_over_rows, bool add, int stride = 1>
void internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::values ( const Number *  in,
Number *  out 
) const
inline

Definition at line 1987 of file tensor_product_kernels.h.

◆ gradients()

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
template<int direction, bool contract_over_rows, bool add, int stride = 1>
void internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::gradients ( const Number *  in,
Number *  out 
) const
inline

Definition at line 1996 of file tensor_product_kernels.h.

◆ hessians()

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
template<int direction, bool contract_over_rows, bool add>
void internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::hessians ( const Number *  in,
Number *  out 
) const
inline

Definition at line 2007 of file tensor_product_kernels.h.

◆ values_one_line()

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
template<int direction, bool contract_over_rows, bool add>
void internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::values_one_line ( const Number  in[],
Number  out[] 
) const
inline

Definition at line 2018 of file tensor_product_kernels.h.

◆ gradients_one_line()

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
template<int direction, bool contract_over_rows, bool add>
void internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::gradients_one_line ( const Number  in[],
Number  out[] 
) const
inline

Definition at line 2027 of file tensor_product_kernels.h.

◆ hessians_one_line()

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
template<int direction, bool contract_over_rows, bool add>
void internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::hessians_one_line ( const Number  in[],
Number  out[] 
) const
inline

Definition at line 2039 of file tensor_product_kernels.h.

◆ apply()

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
template<int direction, bool contract_over_rows, bool add, bool one_line, EvaluatorQuantity quantity, int stride>
void internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::apply ( const Number2 *DEAL_II_RESTRICT  shape_data,
const Number *  in,
Number *  out 
) const
inline

Definition at line 2080 of file tensor_product_kernels.h.

Member Data Documentation

◆ n_rows_of_product

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
constexpr unsigned int internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::n_rows_of_product
staticconstexpr
Initial value:
=
numbers::invalid_unsigned_int
numbers::invalid_unsigned_int
static const unsigned int invalid_unsigned_int
Definition types.h:220

Definition at line 1911 of file tensor_product_kernels.h.

◆ n_columns_of_product

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
constexpr unsigned int internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::n_columns_of_product
staticconstexpr
Initial value:
=
numbers::invalid_unsigned_int

Definition at line 1913 of file tensor_product_kernels.h.

◆ shape_values

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
const Number2* internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::shape_values

Definition at line 2060 of file tensor_product_kernels.h.

◆ shape_gradients

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
const Number2* internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::shape_gradients

Definition at line 2061 of file tensor_product_kernels.h.

◆ shape_hessians

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
const Number2* internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::shape_hessians

Definition at line 2062 of file tensor_product_kernels.h.

◆ n_rows

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
const unsigned int internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::n_rows

Definition at line 2063 of file tensor_product_kernels.h.

◆ n_columns

template<EvaluatorVariant variant, int dim, typename Number , typename Number2 >
const unsigned int internal::EvaluatorTensorProduct< variant, dim, 0, 0, Number, Number2 >::n_columns

Definition at line 2064 of file tensor_product_kernels.h.

The documentation for this struct was generated from the following file:
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