mindspore.ops.erfc

mindspore.ops.erfc(input)

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

$$\text{erfc}(x)=1-\frac{2}{\sqrt{\pi }}\underset{0}{\overset{x}{\int }}{e}^{-t^2}dt$$

Parameters

input (Tensor) – The input tensor.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

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.ops.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.ops.erfc(input)
Tensor(shape=[5], dtype=Float64, value= [ 1.84270079e+00,  1.00000000e+00,  1.57299207e-01,  4.67773498e-03,  2.20904970e-05])