Addcmul
Source:R/gen-namespace-docs.R, R/gen-namespace-examples.R, R/gen-namespace.R
torch_addcmul.RdAddcmul
Arguments
- self
(Tensor) the tensor to be added
- tensor1
(Tensor) the tensor to be multiplied
- tensor2
(Tensor) the tensor to be multiplied
- value
(Number, optional) multiplier for \(tensor1 .* tensor2\)
addcmul(input, tensor1, tensor2, *, value=1, out=NULL) -> Tensor
Performs the element-wise multiplication of tensor1
by tensor2, multiply the result by the scalar value
and add it to input.
$$
\mbox{out}_i = \mbox{input}_i + \mbox{value} \times \mbox{tensor1}_i \times \mbox{tensor2}_i
$$
The shapes of tensor, tensor1, and tensor2 must be
broadcastable .
For inputs of type FloatTensor or DoubleTensor, value must be
a real number, otherwise an integer.
Examples
if (torch_is_installed()) {
t = torch_randn(c(1, 3))
t1 = torch_randn(c(3, 1))
t2 = torch_randn(c(1, 3))
torch_addcmul(t, t1, t2, 0.1)
}
#> torch_tensor
#> -1.0627 2.9080 -0.3882
#> -0.6749 2.6368 -0.3886
#> -0.7420 2.6837 -0.3886
#> [ CPUFloatType{3,3} ]