Addmv
torch_addmv(self, mat, vec, beta = 1L, alpha = 1L)
| self | (Tensor) vector to be added |
|---|---|
| mat | (Tensor) matrix to be multiplied |
| vec | (Tensor) vector to be multiplied |
| beta | (Number, optional) multiplier for |
| alpha | (Number, optional) multiplier for \(mat @ vec\) (\(\alpha\)) |
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
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} ]