Allclose

## Usage

torch_allclose(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 compared as equal. Default: FALSE

## allclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=False) -> bool

This function checks if all input and other satisfy the condition:

$$\vert \mbox{input} - \mbox{other} \vert \leq \mbox{atol} + \mbox{rtol} \times \vert \mbox{other} \vert$$ elementwise, for all elements of input and other. The behaviour of this function is analogous to numpy.allclose <https://docs.scipy.org/doc/numpy/reference/generated/numpy.allclose.html>_

## Examples

if (torch_is_installed()) {

torch_allclose(torch_tensor(c(10000., 1e-07)), torch_tensor(c(10000.1, 1e-08)))
torch_allclose(torch_tensor(c(10000., 1e-08)), torch_tensor(c(10000.1, 1e-09)))
torch_allclose(torch_tensor(c(1.0, NaN)), torch_tensor(c(1.0, NaN)))
torch_allclose(torch_tensor(c(1.0, NaN)), torch_tensor(c(1.0, NaN)), equal_nan=TRUE)
}
#> [1] TRUE