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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

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mindspore.ops.Erfc

class mindspore.ops.Erfc

Computes the complementary error function of x element-wise.

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

Inputs:

• x (Tensor) - The input tensor. The data type must be float16 or float32. $(N,\ast )$ where $\ast$ means, any number of additional dimensions, its rank should be less than 8.

Outputs:

Tensor, has the same shap dtype as the x.

Raises

• TypeError – If x is not a Tensor.

• TypeError – If dtype of x is not float16 or float32.

Supported Platforms:

Ascend GPU

Examples

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