etl::bernoulli_unary_g_op< G, T > Struct Template Reference

Unary operation sampling with a Bernoulli distribution. More...

#include <bernoulli.hpp>

Public Member Functions
	bernoulli_unary_g_op (G &rand_engine)
	Construct a new bernoulli_unary_g_op.
T	apply (const T &x) const
	Apply the unary operator on x. More...
template<typename X , typename Y >
auto	gpu_compute_hint (const X &x, Y &y) const noexcept
	Compute the result of the operation using the GPU. More...
template<typename X , typename Y >
Y &	gpu_compute (const X &x, Y &y) const noexcept
	Compute the result of the operation using the GPU. More...

Static Public Member Functions
static std::string	desc () noexcept
	Returns a textual representation of the operator. More...

Static Public Attributes
static constexpr bool	linear = true
	Indicates if the operator is linear.
static constexpr bool	thread_safe = false
	Indicates if the operator is thread safe or not.
template<vector_mode_t V>
static constexpr bool	vectorizable = false
	Indicates if the expression is vectorizable using the given vector mode. More...
template<typename E >
static constexpr bool	gpu_computable
	Indicates if the operator can be computed on GPU. More...

Detailed Description

template<typename G, typename T>
struct etl::bernoulli_unary_g_op< G, T >

Unary operation sampling with a Bernoulli distribution.

Template Parameters

T	The type of value

Member Function Documentation

apply()

template<typename G , typename T >

T etl::bernoulli_unary_g_op< G, T >::apply ( const T &  x ) const

inline

Apply the unary operator on x.

Parameters

x	The value on which to apply the operator

Returns

The result of applying the unary operator on x

desc()

template<typename G , typename T >

static std::string etl::bernoulli_unary_g_op< G, T >::desc ( )

inlinestaticnoexcept

Returns a textual representation of the operator.

Returns

a string representing the operator

gpu_compute()

template<typename G , typename T >

template<typename X , typename Y >

Y& etl::bernoulli_unary_g_op< G, T >::gpu_compute ( const X &  x, Y &  y  ) const

inlinenoexcept

Compute the result of the operation using the GPU.

Parameters

x	The expression of the unary operation
y	The expression into which to store the reuslt

gpu_compute_hint()

template<typename G , typename T >

template<typename X , typename Y >

auto etl::bernoulli_unary_g_op< G, T >::gpu_compute_hint ( const X &  x, Y &  y  ) const

inlinenoexcept

Compute the result of the operation using the GPU.

Parameters

x	The expression of the unary operation

Returns

The result of applying the unary operator on x. The result must be a GPU computed expression.

Member Data Documentation

gpu_computable

template<typename G , typename T >

template<typename E >

constexpr bool etl::bernoulli_unary_g_op< G, T >::gpu_computable

static

Initial value:

= (is_single_precision_t<T> && impl::egblas::has_sbernoulli_sample_seed)
                                           || (is_double_precision_t<T> && impl::egblas::has_dbernoulli_sample_seed)

Indicates if the operator can be computed on GPU.

vectorizable

template<typename G , typename T >

template<vector_mode_t V>

constexpr bool etl::bernoulli_unary_g_op< G, T >::vectorizable = false

static

Indicates if the expression is vectorizable using the given vector mode.

Template Parameters

V	The vector mode

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

• include/etl/op/unary/bernoulli.hpp