mindspore.ops.logit
- mindspore.ops.logit(input, eps=None)[source]
Calculate the logit of a tensor element-wise.
\[\begin{split}\begin{align} y_{i} & = \ln(\frac{z_{i}}{1 - z_{i}}) \\ z_{i} & = \begin{cases} input_{i} & \text{if eps is None} \\ \text{eps} & \text{if } input_{i} \lt \text{eps} \\ input_{i} & \text{if } \text{eps} \leq input_{i} \leq 1 - \text{eps} \\ 1 - \text{eps} & \text{if } input_{i} \gt 1 - \text{eps} \end{cases} \end{align}\end{split}\]- Parameters
- Returns
Tensor, with the same shape and dtype as the input.
- Raises
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import numpy as np >>> from mindspore import Tensor, ops >>> x = Tensor(np.array([0.1, 0.2, 0.3]).astype(np.float32)) >>> output = ops.logit(x, eps=1e-5) >>> print(output) [-2.1972246 -1.3862944 -0.8472978]