mindspore.ops.erf

mindspore.ops.erf(input)

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, int64, bool.

• GPU/CPU: float16, float32, float64.

Returns

Tensor. If the input is int64 or bool, the return value type is float32. Otherwise, the return value type is the same as the input type.

Raises

• TypeError – If input is not a Tensor.

• TypeError – If dtype of input is not as follows - Ascend: float16, float32, int64, bool. - GPU/CPU: float16, float32, float64.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([-1, 0, 1, 2, 3]), mindspore.float32)
>>> output = ops.erf(input)
>>> print(output)
[-0.8427168   0.          0.8427168   0.99530876  0.99997765]