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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 \(tensor1 .* tensor2\)

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
#> 0.01 *
#>  4.5553 -35.6204 -66.2946
#>   4.7874 -37.0561 -65.1674
#>   6.3397 -46.6592 -57.6276
#> [ CPUFloatType{3,3} ]