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