torch_isclose: Isclose

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

Isclose

Description

Isclose

Usage

torch_isclose(self, other, rtol = 1e-05, atol = 1e-08, equal_nan = FALSE)

Arguments

self	(Tensor) first tensor to compare
other	(Tensor) second tensor to compare
rtol	(float, optional) relative tolerance. Default: 1e-05
atol	(float, optional) absolute tolerance. Default: 1e-08
equal_nan	(bool, optional) if TRUE, then two NaN s will be considered equal. Default: FALSE

isclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=FALSE) -> Tensor

Returns a new tensor with boolean elements representing if each element of input is "close" to the corresponding element of other. Closeness is defined as:

\vert \mbox{input} - \mbox{other} \vert \leq \mbox{atol} + \mbox{rtol} \times \vert \mbox{other} \vert

where input and other are finite. Where input and/or other are nonfinite they are close if and only if they are equal, with NaNs being considered equal to each other when equal_nan is TRUE.

Examples

if (torch_is_installed()) {

torch_isclose(torch_tensor(c(1., 2, 3)), torch_tensor(c(1 + 1e-10, 3, 4)))
torch_isclose(torch_tensor(c(Inf, 4)), torch_tensor(c(Inf, 6)), rtol=.5)
}

torch documentation built on May 29, 2024, 9:54 a.m.