Addcmul — torch_addcmul • torch

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
#> -0.6256  0.3121  0.9045
#> -0.5934  0.3408  0.9139
#> -0.5751  0.3571  0.9193
#> [ CPUFloatType{3,3} ]