torch_addcdiv: Addcdiv

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Addcdiv

Description

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 \mbox{tensor1} / \mbox{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).

\mbox{out}_i = \mbox{input}_i + \mbox{value} \times \frac{\mbox{tensor1}_i}{\mbox{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 documentation built on May 29, 2024, 9:54 a.m.