Addmv
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
#> -0.6353
#> 3.0869
#> [ CPUFloatType{2} ]