Addmm
addmm(input, mat1, mat2, *, beta=1, alpha=1, out=NULL) -> Tensor
Performs a matrix multiplication of the matrices mat1 and mat2.
The matrix input is added to the final result.
If mat1 is a \((n \times m)\) tensor, mat2 is a
\((m \times p)\) tensor, then input must be
broadcastable with a \((n \times p)\) tensor
and out will be a \((n \times p)\) tensor.
alpha and beta are scaling factors on matrix-vector product between
mat1 and mat2 and the added matrix input respectively.
$$
\mbox{out} = \beta\ \mbox{input} + \alpha\ (\mbox{mat1}_i \mathbin{@} \mbox{mat2}_i)
$$
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, 3))
mat1 = torch_randn(c(2, 3))
mat2 = torch_randn(c(3, 3))
torch_addmm(M, mat1, mat2)
}
#> torch_tensor
#> -0.8668 -4.4102 0.1871
#> 0.3048 2.6770 0.6491
#> [ CPUFloatType{2,3} ]