bc::tensors::exprs Namespace Reference

Namespaces
	blas_expression_parser
	detail
	evaluator
	functions

Classes
struct	Array
struct	Array_Slice
class	BC_Const_View
class	BC_View
struct	Bin_Op
struct	Bin_Op< oper::dot< SystemTag >, lv, rv >
struct	Bin_Op< oper::gemm< SystemTag >, lv, rv >
struct	Bin_Op< oper::gemv< SystemTag >, lv, rv >
struct	Bin_Op< oper::ger< SystemTag >, lv, rv >
struct	binary_optimizer_default
struct	blas_expression_traits
struct	Constexpr_Scalar_Constant
struct	Constexpr_Scalar_Constant< Value, Scalar, bc::device_tag >
struct	Constexpr_Scalar_Constant< Value, Scalar, bc::host_tag >
class	Evaluator
struct	Expression_Base
struct	Expression_Template_Base
struct	expression_traits
struct	GreedyEvaluator
struct	Kernel_Array
struct	Kernel_Array_Base
struct	noncontinuous_memory_tag
struct	optimizer
struct	optimizer< Array, std::enable_if_t< expression_traits< Array >::is_temporary::value > >
struct	optimizer< Bin_Op< op, lv, rv >, std::enable_if_t< expression_traits< Bin_Op< op, lv, rv > > ::requires_greedy_evaluation::value > >
struct	optimizer< Bin_Op< op, lv, rv >, std::enable_if_t< oper::operation_traits< op >::is_linear_operation > >
struct	optimizer< Bin_Op< op, lv, rv >, std::enable_if_t< oper::operation_traits< op >::is_nonlinear_operation &&!expression_traits< Bin_Op< op, lv, rv > > ::requires_greedy_evaluation::value > >
struct	optimizer< T, std::enable_if_t< expression_traits< T >::is_array::value &&!expression_traits< T >::is_temporary::value > >
struct	optimizer< Un_Op< Op, Array >, std::enable_if_t<!expression_traits< Un_Op< Op, Array > > ::requires_greedy_evaluation::value > >
struct	optimizer< Un_Op< op, value >, std::enable_if_t< expression_traits< Un_Op< op, value > > ::requires_greedy_evaluation::value > >
struct	optimizer_default
struct	optimizer_greedy_evaluations
struct	Output_Data
struct	Scalar_Constant
struct	Scalar_Constant_Base
struct	Sum
struct	temporary_tag
struct	Un_Op
struct	Un_Op< oper::transpose< System_Tag >, Value >
struct	Un_Op< Sum< SystemTag >, ArrayType >
struct	unary_optimizer_default
struct	Vector

Functions
template<class Shape , class Allocator >
auto	make_tensor_array (Shape shape, Allocator alloc)
template<int N, class Allocator , class... Tags>
auto	make_kernel_array (Shape< N > shape, Allocator allocator, Tags...)
template<class SystemTag , class value_type >
auto	make_scalar_constant (value_type scalar)
template<class SystemTag , int Value, class Scalar >
auto	make_constexpr_scalar ()
template<class Parent >
auto	make_row (Parent &parent, bc::size_t index)
template<class Parent >
auto	make_diagnol (Parent &parent, bc::size_t diagnol_index)
template<class Parent , class ShapeLike , class = std::enable_if_t<Parent::tensor_dim != 1>>
auto	make_chunk (Parent &parent, bc::Dim< Parent::tensor_dim > index_points, ShapeLike shape)
template<class Parent , class ShapeLike , class = std::enable_if_t<Parent::tensor_dim == 1>>
auto	make_chunk (Parent &parent, bc::Dim< 1 > index_points, ShapeLike shape)
template<class Op , class Lv , class Rv >
BCHOT auto	make_bin_expr (Lv left, Rv right, Op oper)
template<class Op , class Lv , class Rv , class... Args>
BCHOT auto	make_bin_expr (Lv left, Rv right, Args &&... args)
template<class Operation , class Expression >
BCHOT auto	make_un_expr (Expression expression, Operation operation=Operation())
template<class expr_t >
auto	make_transpose (expr_t expr)
template<class Array , class SystemTag >
auto	make_transpose (Un_Op< oper::transpose< SystemTag >, Array > expression)
template<class Op , bool PriorEval, class Tensor , int A, int B>
auto	update_alpha_beta_modifiers (Output_Data< Tensor, A, B > tensor)
template<int AlphaModifer = 1, int BetaModifer = 0, class Tensor >
auto	make_output_data (Tensor tensor)

Function Documentation

make_bin_expr() [1/2]

template<class Op , class Lv , class Rv >

BCHOT auto bc::tensors::exprs::make_bin_expr	(	Lv	left,
		Rv	right,
		Op	oper
	)

make_bin_expr() [2/2]

template<class Op , class Lv , class Rv , class... Args>

BCHOT auto bc::tensors::exprs::make_bin_expr	(	Lv	left,
		Rv	right,
		Args &&...	args
	)

make_chunk() [1/2]

template<class Parent , class ShapeLike , class = std::enable_if_t<Parent::tensor_dim != 1>>

auto bc::tensors::exprs::make_chunk	(	Parent &	parent,
		bc::Dim< Parent::tensor_dim >	index_points,
		ShapeLike	shape
	)

make_chunk() [2/2]

template<class Parent , class ShapeLike , class = std::enable_if_t<Parent::tensor_dim == 1>>

auto bc::tensors::exprs::make_chunk	(	Parent &	parent,
		bc::Dim< 1 >	index_points,
		ShapeLike	shape
	)

make_constexpr_scalar()

template<class SystemTag , int Value, class Scalar >

auto bc::tensors::exprs::make_constexpr_scalar

(

)

make_diagnol()

template<class Parent >

auto bc::tensors::exprs::make_diagnol	(	Parent &	parent,
		bc::size_t	diagnol_index
	)

make_kernel_array()

template<int N, class Allocator , class... Tags>

auto bc::tensors::exprs::make_kernel_array	(	Shape< N >	shape,
		Allocator	allocator,
		Tags...
	)

make_output_data()

template<int AlphaModifer = 1, int BetaModifer = 0, class Tensor >

auto bc::tensors::exprs::make_output_data ( Tensor  tensor )

inline

make_row()

template<class Parent >

auto bc::tensors::exprs::make_row	(	Parent &	parent,
		bc::size_t	index
	)

make_scalar_constant()

template<class SystemTag , class value_type >

auto bc::tensors::exprs::make_scalar_constant

(

value_type

scalar

)

make_tensor_array()

template<class Shape , class Allocator >

auto bc::tensors::exprs::make_tensor_array	(	Shape	shape,
		Allocator	alloc
	)

make_transpose() [1/2]

template<class expr_t >

auto bc::tensors::exprs::make_transpose

(

expr_t

expr

)

make_transpose() [2/2]

template<class Array , class SystemTag >

auto bc::tensors::exprs::make_transpose

(

Un_Op< oper::transpose< SystemTag >, Array >

expression

)

make_un_expr()

template<class Operation , class Expression >

BCHOT auto bc::tensors::exprs::make_un_expr	(	Expression	expression,
		Operation	operation = Operation()
	)

update_alpha_beta_modifiers()

template<class Op , bool PriorEval, class Tensor , int A, int B>

auto bc::tensors::exprs::update_alpha_beta_modifiers ( Output_Data< Tensor, A, B >  tensor )

inline