mindspore.mint.erfc

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mindspore.mint.erfc(input)[source]

Computes the complementary error function of input element-wise.

\[erfc(x) = 1 - \frac{2} {\sqrt{\pi}} \int\limits_0^{x} e^{-t^{2}} dt\]
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]