mindspore.mint.erf
- mindspore.mint.erf(input)[source]
Computes the Gauss error function of input element-wise.
\[erf(x)=\frac{2} {\sqrt{\pi}} \int\limits_0^{x} e^{-t^{2}} dt\]- Parameters
input (Tensor) – The input tensor of Gaussian error function. \(x\) in the following formula. Supported dtypes: - Ascend: float16, float32, float64, int64, bool.
- Returns
Tensor, has the same shape as the input. The dtype of output is float32 when dtype of input is in [bool, int64]. Otherwise output has the same dtype as the input.
- Raises
- Supported Platforms:
Ascend
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor, mint >>> input = Tensor(np.array([-1, 0, 1, 2, 3]), mindspore.float32) >>> output = mint.erf(input) >>> print(output) [-0.8427168 0. 0.8427168 0.99530876 0.99997765]