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mindspore.mint.erfc

mindspore.mint.erfc(input)

Computes the complementary error function of input element-wise.

$$\text{erfc}(x)=1-\frac{2}{\sqrt{\pi }}\underset{0}{\overset{x}{\int }}{e}^{-t^2}dt$$

Parameters

input (Tensor) –

The input tensor of the complementary error function, $x$ in the above formula. Supported dtypes:

• Ascend: float16, float32, float64, int64, bool, bfloat16.

Returns

Tensor. The dtype of output is float32 when dtype of input is in [bool, int64]. Otherwise output has the same dtype as the input.

Raises

• TypeError – If input is not a Tensor.

• TypeError –

  If dtype of input is not the following:

  • Ascend: float16, float32, float64, int64, bool, bfloat16.

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.erfc(input)
>>> print(output)
[1.8427008e+00 1.0000000e+00 1.5729921e-01 4.6777348e-03 2.2090497e-05]