Addmv

torch_addmv(self, mat, vec, beta = 1L, alpha = 1L)

Arguments

self

(Tensor) vector to be added

mat

(Tensor) matrix to be multiplied

vec

(Tensor) vector to be multiplied

beta

(Number, optional) multiplier for input (\(\beta\))

alpha

(Number, optional) multiplier for \(mat @ vec\) (\(\alpha\))

addmv(input, mat, vec, *, beta=1, alpha=1, out=NULL) -> Tensor

Performs a matrix-vector product of the matrix mat and the vector vec. The vector input is added to the final result.

If mat is a \((n \times m)\) tensor, vec is a 1-D tensor of size m, then input must be broadcastable with a 1-D tensor of size n and out will be 1-D tensor of size n.

alpha and beta are scaling factors on matrix-vector product between mat and vec and the added tensor input respectively.

$$ \mbox{out} = \beta\ \mbox{input} + \alpha\ (\mbox{mat} \mathbin{@} \mbox{vec}) $$ For inputs of type FloatTensor or DoubleTensor, arguments beta and alpha must be real numbers, otherwise they should be integers

Examples

if (torch_is_installed()) { M = torch_randn(c(2)) mat = torch_randn(c(2, 3)) vec = torch_randn(c(3)) torch_addmv(M, mat, vec) }
#> torch_tensor #> 0.8744 #> 0.6141 #> [ CPUFloatType{2} ]