mindspore.ops.erfc

mindspore.ops.erfc(input)[source]

Computes the complementary error function of input element-wise.

e r f c (x) = 1 - \frac{2}{\sqrt{π}} \int_{0}^{x} e^{- t^{2}} d t

Parameters

input (Tensor) –

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

Ascend: float16, float32.
GPU/CPU: float16, float32, float64.

Returns

Tensor, has the same shape and dtype as input.

Raises

TypeError – If input is not a Tensor.
TypeError – If dtype of input is not float16, float32 or float64.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> x = Tensor(np.array([-1, 0, 1, 2, 3]), mindspore.float32)
>>> output = ops.erfc(x)
>>> print(output)
[1.8427168e+00 1.0000000e+00 1.5728319e-01 4.6912432e-03 2.2351742e-05]