xfunction

Defined in xtensor/core/xfunction.hpp

template<class F, class ...CT> class xfunction : private xt::xconst_iterable<xfunction<F, CT...>>, public xt::xsharable_expression<xfunction<F, CT...>>, private xt::xconst_accessible<xfunction<F, CT...>>, public extension::xfunction_base_t<F, CT...>

Multidimensional function operating on xtensor expressions.

The xfunction class implements a multidimensional function operating on xtensor expressions.

Template Parameters:

F – the function type
CT – the closure types for arguments of the function

Constructor

template<class Func, class ...CTA, class U = std::enable_if_t<!std::is_base_of<std::decay_t<Func>, self_type>::value>> inline xfunction(Func &&f, CTA&&... e) noexcept

Constructs an xfunction applying the specified function to the given arguments.

Parameters:

f – the function to apply
e – the xexpression arguments

template<class FA, class ...CTA> inline xfunction(xfunction<FA, CTA...> xf) noexcept

Constructs an xfunction applying the specified function given by another xfunction with its arguments.

Parameters:: xf – the xfunction to apply

Size and shape

inline size_type dimension() const noexcept: Returns the number of dimensions of the function.

inline const inner_shape_type &shape() const: Returns the shape of the xfunction.

inline layout_type layout() const noexcept: Returns the layout_type of the xfunction.

Broadcasting

template<class S> inline bool broadcast_shape(S &shape, bool reuse_cache = false) const

Broadcast the shape of the function to the specified parameter.

Parameters:

shape – the result shape
reuse_cache – boolean for reusing a previously computed shape

Returns:

a boolean indicating whether the broadcasting is trivial

template<class S> inline bool has_linear_assign(const S &strides) const noexcept

Checks whether the xfunction can be linearly assigned to an expression with the specified strides.

Returns:: a boolean indicating whether a linear assign is possible

Data

inline const_reference flat(size_type i) const

Returns a constant reference to the element at the specified position of the underlying contiguous storage of the function.

Parameters:: index – index to underlying flat storage.

template<class ...Args> inline auto operator()(Args... args) const -> const_reference

Returns a constant reference to the element at the specified position in the function.

Parameters:: args – a list of indices specifying the position in the function. Indices must be unsigned integers, the number of indices should be equal or greater than the number of dimensions of the function.

template<class ...Args> inline auto unchecked(Args... args) const -> const_reference

Returns a constant reference to the element at the specified position in the expression.

Warning

This method is meant for performance, for expressions with a dynamic number of dimensions (i.e. not known at compile time). Since it may have undefined behavior (see parameters), operator() should be preferred whenever it is possible.

Warning

This method is NOT compatible with broadcasting, meaning the following code has undefined behavior:

xt::xarray<double> a = {{0, 1}, {2, 3}};
xt::xarray<double> b = {0, 1};
auto fd = a + b;
double res = fd.unchecked(0, 1);

Parameters:: args – a list of indices specifying the position in the expression. Indices must be unsigned integers, the number of indices must be equal to the number of dimensions of the expression, else the behavior is undefined.

template<class It> inline auto element(It first, It last) const -> const_reference

Returns a constant reference to the element at the specified position in the function.

Parameters:

first – iterator starting the sequence of indices
last – iterator ending the sequence of indices The number of indices in the sequence should be equal to or greater than the number of dimensions of the container.

Public Functions

inline size_type size() const noexcept: Returns the size of the expression.

inline size_type shape(size_type index) const: Returns the i-th dimension of the expression.

template<class ...Args> inline auto at(Args... args) const -> const_reference

Returns a constant reference to the element at the specified position in the expression, after dimension and bounds checking.

Parameters:: args – a list of indices specifying the position in the expression. Indices must be unsigned integers, the number of indices should be equal to the number of dimensions of the expression.
Throws:: std::out_of_range – if the number of argument is greater than the number of dimensions or if indices are out of bounds.

inline const_reference back() const: Returns a constant reference to last the element of the expression.

inline const_reference front() const: Returns a constant reference to first the element of the expression.

template<class ...Args> inline bool in_bounds(Args... args) const

Returns true only if the the specified position is a valid entry in the expression.

Parameters:: args – a list of indices specifying the position in the expression.
Returns:: bool

template<class ...Args> inline auto periodic(Args... args) const -> const_reference

Returns a constant reference to the element at the specified position in the expression, after applying periodicity to the indices (negative and ‘overflowing’ indices are changed).

Parameters:: args – a list of indices specifying the position in the expression. Indices must be integers, the number of indices should be equal to the number of dimensions of the expression.

Defined in xtensor/core/xmath.hpp

template<class F, class ...E> inline auto xt::make_lambda_xfunction(F &&lambda, E&&... args)

Create a xfunction from a lambda.

This function can be used to easily create performant xfunctions from lambdas:

template <class E1>
inline auto square(E1&& e1) noexcept
{
    auto fnct = [](auto x) -> decltype(x * x) {
        return x * x;
    };
    return make_lambda_xfunction(std::move(fnct), std::forward<E1>(e1));
}

Lambda function allow the reusal of a single arguments in multiple places (otherwise only correctly possible when using xshared_expressions). auto lambda functions are automatically vectorized with xsimd if possible (note that the trailing -> decltype(...) is mandatory for the feature detection to work).

Parameters:

lambda – the lambda to be vectorized
args – forwarded arguments

Returns:

lazy xfunction