Addcmul

Usage

torch_addcmul(self, tensor1, tensor2, value = 1L)

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 $tensor1.\ast tensor2$

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.

$${\text{out}}_i={\text{input}}_i+\text{value}\times {\text{tensor1}}_i\times {\text{tensor2}}_i$$ 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
#>  2.1052 -1.0383  0.0507
#>  2.1342 -0.9983 -0.0643
#>  2.1676 -0.9522 -0.1970
#> [ CPUFloatType{3,3} ]