Addcdiv

Usage

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

Arguments

self

(Tensor) the tensor to be added

tensor1

(Tensor) the numerator tensor

tensor2

(Tensor) the denominator tensor

value

(Number, optional) multiplier for $\text{tensor1}/\text{tensor2}$

addcdiv(input, tensor1, tensor2, *, value=1, out=NULL) -> Tensor

Performs the element-wise division of tensor1 by tensor2, multiply the result by the scalar value and add it to input.

Warning

Integer division with addcdiv is deprecated, and in a future release addcdiv will perform a true division of tensor1 and tensor2. The current addcdiv behavior can be replicated using torch_floor_divide() for integral inputs (input + value * tensor1 // tensor2) and torch_div() for float inputs (input + value * tensor1 / tensor2). The new addcdiv behavior can be implemented with torch_true_divide() (input + value * torch.true_divide(tensor1, tensor2).

$${\text{out}}_i={\text{input}}_i+\text{value}\times \frac{{\text{tensor1}}_i}{{\text{tensor2}}_i}$$

The shapes of input, 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_addcdiv(t, t1, t2, 0.1)
}
#> torch_tensor
#>  1.4071 -0.3012 -0.0153
#>  1.2790 -0.1851  0.9872
#>  1.4874 -0.3740 -0.6435
#> [ CPUFloatType{3,3} ]