Addmm
Addmm
torch_addmm(self, mat1, mat2, beta = 1L, alpha = 1L)
self |
(Tensor) matrix to be added |
mat1 |
(Tensor) the first matrix to be multiplied |
mat2 |
(Tensor) the second matrix to be multiplied |
beta |
(Number, optional) multiplier for |
alpha |
(Number, optional) multiplier for mat1 @ mat2 (α) |
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} = β\ \mbox{input} + α\ (\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.
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)
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