monolish::vml::min

Create a new Dense matrix with smallest elements of Dense matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha)) More...

Functions
void	monolish::vml::min (const matrix::Dense< double > &A, const double alpha, matrix::Dense< double > &C)
	Create a new Dense matrix with smallest elements of Dense matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha)) More...
void	monolish::vml::min (const matrix::Dense< float > &A, const float alpha, matrix::Dense< float > &C)
void	monolish::vml::min (const tensor::tensor_Dense< double > &A, const double alpha, tensor::tensor_Dense< double > &C)
	Create a new tensor_Dense tensor with smallest elements of tensor_Dense tensor or scalar (C[0:nnz] = min(A[0:nnz], alpha)) More...
void	monolish::vml::min (const tensor::tensor_Dense< float > &A, const float alpha, tensor::tensor_Dense< float > &C)

Detailed Description

Create a new Dense matrix with smallest elements of Dense matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha))

Create a new tensor_Dense tensor with smallest elements of tensor_Dense tensor or scalar (C[0:nnz] = min(A[0:nnz], alpha))

Function Documentation

min() [1/4]

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

Create a new Dense matrix with smallest elements of Dense matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha))

Parameters

A	monolish Dense matrix (size M x N)
alpha	scalar value
C	monolish Dense matrix (size M x N)

Note

• # of computation: M*N
• Multi-threading: true
• GPU acceleration: true
  • # of data transfer: 0

min() [2/4]

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

min() [3/4]

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

Create a new tensor_Dense tensor with smallest elements of tensor_Dense tensor or scalar (C[0:nnz] = min(A[0:nnz], alpha))

Parameters

A	monolish tensor_Dense tensor
alpha	scalar value
C	monolish tensor_Dense tensor

Note

• # of computation: size
• Multi-threading: true
• GPU acceleration: true
  • # of data transfer: 0

min() [4/4]

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