etl::relu_derivative_op< T > Struct Template Reference

Unary operation computing the derivate of the RELU operation. More...

#include <relu_derivative.hpp>

Public Types
template<typename V = default_vec>
using	vec_type = typename V::template vec_type< T >

Static Public Member Functions
static constexpr int	complexity ()
	Estimate the complexity of operator. More...
static T	apply (const T &x)
	Apply the unary operator on x. More...
template<typename V = default_vec>
static vec_type< V >	load (const vec_type< V > &x) noexcept
	Compute several applications of the operator at a time. More...
template<typename X , typename Y >
static auto	gpu_compute_hint (const X &x, Y &y) noexcept
	Compute the result of the operation using the GPU. More...
template<typename X , typename Y >
static Y &	gpu_compute (const X &x, Y &y) noexcept
	Compute the result of the operation using the GPU. More...
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 = true
	Indicates if the operator is thread safe or not.
template<vector_mode_t V>
static constexpr bool	vectorizable = !is_complex_t<T>
	Indicates if the expression is vectorizable using the given vector mode. More...
template<typename E >
static constexpr bool	gpu_computable = is_floating_t<T>&& impl::egblas::has_srelu_der_out&& impl::egblas::has_drelu_der_out
	Indicates if the operator can be computed on GPU.

Detailed Description

template<typename T>
struct etl::relu_derivative_op< T >

Unary operation computing the derivate of the RELU operation.

Template Parameters

T	The type of value

Member Typedef Documentation

vec_type

template<typename T >

template<typename V = default_vec>

using etl::relu_derivative_op< T >::vec_type = typename V::template vec_type<T>

The vectorization type for V

Member Function Documentation

apply()

template<typename T >

static T etl::relu_derivative_op< T >::apply ( const T &  x )

inlinestatic

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

complexity()

template<typename T >

static constexpr int etl::relu_derivative_op< T >::complexity ( )

inlinestatic

Estimate the complexity of operator.

Returns

An estimation of the complexity of the operator

desc()

template<typename T >

static std::string etl::relu_derivative_op< T >::desc ( )

inlinestaticnoexcept

Returns a textual representation of the operator.

Returns

a string representing the operator

gpu_compute()

template<typename T >

template<typename X , typename Y >

static Y& etl::relu_derivative_op< T >::gpu_compute ( const X &  x, Y &  y  )

inlinestaticnoexcept

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 T >

template<typename X , typename Y >

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

inlinestaticnoexcept

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.

load()

template<typename T >

template<typename V = default_vec>

static vec_type<V> etl::relu_derivative_op< T >::load ( const vec_type< V > &  x )

inlinestaticnoexcept

Compute several applications of the operator at a time.

Parameters

x	The vector on which to operate

Template Parameters

V	The vectorization mode

Returns

a vector containing several results of the operator

Member Data Documentation

vectorizable

template<typename T >

template<vector_mode_t V>

constexpr bool etl::relu_derivative_op< T >::vectorizable = !is_complex_t<T>

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/relu_derivative.hpp