torch_logit: Logit

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

Logit

Description

Logit

Usage

torch_logit(self, eps = NULL)

Arguments

self	(Tensor) the input tensor.
eps	(float, optional) the epsilon for input clamp bound. Default: None

logit(input, eps=None, *, out=None) -> Tensor

Returns a new tensor with the logit of the elements of input. input is clamped to ⁠[eps, 1 - eps]⁠ when eps is not None. When eps is None and input < 0 or input > 1, the function will yields NaN.

y_{i} = \ln(\frac{z_{i}}{1 - z_{i}}) \\ z_{i} = \begin{array}{ll} x_{i} & \mbox{if eps is None} \\ \mbox{eps} & \mbox{if } x_{i} < \mbox{eps} \\ x_{i} & \mbox{if } \mbox{eps} \leq x_{i} \leq 1 - \mbox{eps} \\ 1 - \mbox{eps} & \mbox{if } x_{i} > 1 - \mbox{eps} \end{array}

Examples

if (torch_is_installed()) {

a <- torch_rand(5)
a
torch_logit(a, eps=1e-6)
}

torch documentation built on June 7, 2023, 6:19 p.m.