monolish::vml::pow

power to Dense matrix elements (C[0:N] = pow(A[0:N], B[0:N])) More...

Functions
void	monolish::vml::pow (const matrix::Dense< double > &A, const matrix::Dense< double > &B, matrix::Dense< double > &C)
	power to Dense matrix elements (C[0:N] = pow(A[0:N], B[0:N])) More...
void	monolish::vml::pow (const matrix::Dense< float > &A, const matrix::Dense< float > &B, matrix::Dense< float > &C)
void	monolish::vml::pow (const tensor::tensor_Dense< double > &A, const tensor::tensor_Dense< double > &B, tensor::tensor_Dense< double > &C)
	power to tensor_Dense tensor elements (C[0:N] = pow(A[0:N], B[0:N])) More...
void	monolish::vml::pow (const tensor::tensor_Dense< float > &A, const tensor::tensor_Dense< float > &B, tensor::tensor_Dense< float > &C)

Detailed Description

power to Dense matrix elements (C[0:N] = pow(A[0:N], B[0:N]))

power to tensor_Dense tensor elements (C[0:N] = pow(A[0:N], B[0:N]))

Function Documentation

pow() [1/4]

void monolish::vml::pow	(	const matrix::Dense< double > &	A,
		const matrix::Dense< double > &	B,
		matrix::Dense< double > &	C
	)

power to Dense matrix elements (C[0:N] = pow(A[0:N], B[0:N]))

Parameters

A	monolish Dense Matrix (size M x N)
B	monolish Dense Matrix (size M x N)
C	monolish Dense Matrix (size M x N)

Note

• # of computation: M*N
• Multi-threading: true
• GPU acceleration: true

pow() [2/4]

void monolish::vml::pow	(	const matrix::Dense< float > &	A,
		const matrix::Dense< float > &	B,
		matrix::Dense< float > &	C
	)

pow() [3/4]

void monolish::vml::pow	(	const tensor::tensor_Dense< double > &	A,
		const tensor::tensor_Dense< double > &	B,
		tensor::tensor_Dense< double > &	C
	)

power to tensor_Dense tensor elements (C[0:N] = pow(A[0:N], B[0:N]))

Parameters

A	monolish tensor_Dense tensor
B	monolish tensor_Dense tensor
C	monolish tensor_Dense tensor

Note

• # of computation: size
• Multi-threading: true
• GPU acceleration: true

pow() [4/4]

void monolish::vml::pow	(	const tensor::tensor_Dense< float > &	A,
		const tensor::tensor_Dense< float > &	B,
		tensor::tensor_Dense< float > &	C
	)