mindspore.mint.erfc

mindspore.mint.erfc(input)

Compute the complementary error function of input tensor element-wise.

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

Parameters

input (Tensor) – The input tensor.

Returns

Tensor

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> # The datatype of output will be float32 when datatype of input is in [int64, bool](Datatype only supported on Ascend).
>>> input = mindspore.tensor([-1, 0, 1, 2, 3], mindspore.int64)
>>> mindspore.mint.erfc(input)
Tensor(shape=[5], dtype=Float32, value= [ 1.84270079e+00,  1.00000000e+00,  1.57299207e-01,  4.67773498e-03,  2.20904970e-05])
>>>
>>> # Otherwise output has the same dtype as the input.
>>> input = mindspore.tensor([-1, 0, 1, 2, 3], mindspore.float64)
>>> mindspore.mint.erfc(input)
Tensor(shape=[5], dtype=Float64, value= [ 1.84270079e+00,  1.00000000e+00,  1.57299207e-01,  4.67773498e-03,  2.20904970e-05])