Functors reducing a vector to a scalar

Collaboration diagram for Functors reducing a vector to a scalar:

Functions
template<class __value_type , class __memory_space_type >
bool	cuv::has_inf (const tensor< __value_type, __memory_space_type > &v)
	Check whether a float vector contains "Inf" or "-Inf".
template<class __value_type , class __memory_space_type >
bool	cuv::has_inf (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
bool	cuv::has_nan (const tensor< __value_type, __memory_space_type > &v)
	Check whether a float vector contains "NaN".
template<class __value_type , class __memory_space_type >
bool	cuv::has_nan (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
unsigned int	cuv::count (const tensor< __value_type, __memory_space_type > &v, const __value_type &s)
	Count the elements with a certain scalar value in a vector.
template<class __value_type , class __memory_space_type >
unsigned int	cuv::count (const tensor< __value_type, __memory_space_type, column_major > &v, const __value_type &s)
template<class __value_type , class __memory_space_type >
float	cuv::sum (const tensor< __value_type, __memory_space_type > &v)
	Return the sum of a vector.
template<class __value_type , class __memory_space_type >
float	cuv::sum (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
float	cuv::norm2 (const tensor< __value_type, __memory_space_type > &v)
	Return the two-norm or Euclidean norm of a vector.
template<class __value_type , class __memory_space_type >
float	cuv::norm2 (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
float	cuv::diff_norm2 (const tensor< __value_type, __memory_space_type > &v, const tensor< __value_type, __memory_space_type > &w)
	Return the two-norm or of the difference of two vectors.
template<class __value_type , class __memory_space_type >
float	cuv::diff_norm2 (const tensor< __value_type, __memory_space_type, column_major > &v, const tensor< __value_type, __memory_space_type, column_major > &w)
template<class __value_type , class __memory_space_type >
float	cuv::norm1 (const tensor< __value_type, __memory_space_type > &v)
	Return the one-norm or sum-norm of a vector.
template<class __value_type , class __memory_space_type >
float	cuv::norm1 (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
float	cuv::minimum (const tensor< __value_type, __memory_space_type > &v)
	Return the minimum entry of a vector.
template<class __value_type , class __memory_space_type >
float	cuv::minimum (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
float	cuv::maximum (const tensor< __value_type, __memory_space_type > &v)
	Return the maximum entry of a vector.
template<class __value_type , class __memory_space_type >
float	cuv::maximum (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
float	cuv::mean (const tensor< __value_type, __memory_space_type > &v)
	Return the mean of the entries of a vector.
template<class __value_type , class __memory_space_type >
float	cuv::mean (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
float	cuv::var (const tensor< __value_type, __memory_space_type > &v)
	Return the variation of the entries of a vector.
template<class __value_type , class __memory_space_type >
float	cuv::var (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
tensor< __value_type, __memory_space_type > ::index_type	cuv::arg_max (const tensor< __value_type, __memory_space_type > &v)
	Return the index of the maximum element.
template<class __value_type , class __memory_space_type >
tensor< __value_type, __memory_space_type, column_major >::index_type	cuv::arg_max (const tensor< __value_type, __memory_space_type, column_major > &v)
template<class __value_type , class __memory_space_type >
tensor< __value_type, __memory_space_type > ::index_type	cuv::arg_min (const tensor< __value_type, __memory_space_type > &v)
	Return the index of the minimum element.
template<class __value_type , class __memory_space_type >
tensor< __value_type, __memory_space_type, column_major >::index_type	cuv::arg_min (const tensor< __value_type, __memory_space_type, column_major > &v)

Detailed Description

Function Documentation

template<class __value_type , class __memory_space_type >

tensor<__value_type, __memory_space_type>::index_type cuv::arg_max

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the index of the maximum element.

Parameters

v	Target vector

Returns

index of max element

template<class __value_type , class __memory_space_type >

tensor<__value_type, __memory_space_type, column_major>::index_type cuv::arg_max

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

arg_max

Definition at line 822 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

tensor<__value_type, __memory_space_type>::index_type cuv::arg_min

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the index of the minimum element.

Parameters

v	Target vector

Returns

index of min element

template<class __value_type , class __memory_space_type >

tensor<__value_type, __memory_space_type, column_major>::index_type cuv::arg_min

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

arg_min

Definition at line 838 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

unsigned int cuv::count	(	const tensor< __value_type, __memory_space_type > &	v,
		const __value_type &	s
	)

Count the elements with a certain scalar value in a vector.

Parameters

v	vector
s	scalar

Returns

count of elements with that scalar value

template<class __value_type , class __memory_space_type >

unsigned int cuv::count	(	const tensor< __value_type, __memory_space_type, column_major > &	v,
		const __value_type &	s
	)

See Also

sum

Definition at line 708 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

float cuv::diff_norm2	(	const tensor< __value_type, __memory_space_type > &	v,
		const tensor< __value_type, __memory_space_type > &	w
	)

Return the two-norm or of the difference of two vectors.

Parameters

v	src vector
w	src vector

Returns

Two-norm of (v-w)

template<class __value_type , class __memory_space_type >

float cuv::diff_norm2	(	const tensor< __value_type, __memory_space_type, column_major > &	v,
		const tensor< __value_type, __memory_space_type, column_major > &	w
	)

See Also

norm2

Definition at line 745 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

bool cuv::has_inf

(

const tensor< __value_type, __memory_space_type > &

v

)

Check whether a float vector contains "Inf" or "-Inf".

Parameters

v	Target vector

Returns

true if v contains "Inf" or "-Inf", false otherwise

template<class __value_type , class __memory_space_type >

bool cuv::has_inf

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

has_inf

Definition at line 683 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

bool cuv::has_nan

(

const tensor< __value_type, __memory_space_type > &

v

)

Check whether a float vector contains "NaN".

Parameters

v	Target vector

Returns

true if v contains "NaN", false otherwise

template<class __value_type , class __memory_space_type >

bool cuv::has_nan

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

has_nan

Definition at line 695 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

float cuv::maximum

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the maximum entry of a vector.

Parameters

v	Target vector

Returns

Maximum entry of v

template<class __value_type , class __memory_space_type >

float cuv::maximum

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

maximum

Definition at line 781 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

float cuv::mean

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the mean of the entries of a vector.

Parameters

v	Target vector

Returns

Mean of entries of v

template<class __value_type , class __memory_space_type >

float cuv::mean

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

mean

Definition at line 793 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

float cuv::minimum

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the minimum entry of a vector.

Parameters

v	Target vector

Returns

Minimum entry of v

template<class __value_type , class __memory_space_type >

float cuv::minimum

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

minimum

Definition at line 769 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

float cuv::norm1

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the one-norm or sum-norm of a vector.

Parameters

v	Target vector

Returns

one-norm of v

template<class __value_type , class __memory_space_type >

float cuv::norm1

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

norm1

Definition at line 757 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

float cuv::norm2

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the two-norm or Euclidean norm of a vector.

Parameters

v	Target vector

Returns

Two-norm of v

template<class __value_type , class __memory_space_type >

float cuv::norm2

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

norm2

Definition at line 732 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

float cuv::sum

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the sum of a vector.

Parameters

v

vector

Returns

sum of v

template<class __value_type , class __memory_space_type >

float cuv::sum

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

sum

Definition at line 720 of file tensor_ops.hpp.

template<class __value_type , class __memory_space_type >

float cuv::var

(

const tensor< __value_type, __memory_space_type > &

v

)

Return the variation of the entries of a vector.

Parameters

v	Target vector

Returns

Variation of entries of v

template<class __value_type , class __memory_space_type >

float cuv::var

(

const tensor< __value_type, __memory_space_type, column_major > &

v

)

See Also

var

Definition at line 805 of file tensor_ops.hpp.