mindspore.ops.erfc

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mindspore.ops.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.

  • 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]