torch_addcmul function

Addcmul

Addcmul

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.tensor2tensor1 .* 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.

\mboxouti=\mboxinputi+\mboxvalue×\mboxtensor1i×\mboxtensor2i \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) }
  • Maintainer: Daniel Falbel
  • License: MIT + file LICENSE
  • Last published: 2025-02-14