torch (version 0.0.2)

torch_addcmul: Addcmul

Description

Addcmul

Arguments

input

(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 \(tensor1 .* tensor2\)

out

(Tensor, optional) the output tensor.

addcmul(input, tensor1, tensor2, *, value=1, out=None) -> 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

# NOT RUN {
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)
}
# }