mindspore.ops.erfinv

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mindspore.ops.erfinv(input)[source]

Returns the result of the inverse error function with input, which is defined in the range (-1, 1) as:

\[erfinv(erf(x)) = x\]

where \(x\) is the input.

Parameters

input (Tensor) –

The input tensor to compute with. Supported dtypes:

  • Ascend: float16, float32, int8, int16, int32, int64, uint8, bool.

  • GPU/CPU: float16, float32 or float64.

Returns

Tensor, has the same shape and dtype as input.

Raises

TypeError –

If dtype of input is not as follows

  • Ascend: float16, float32, int8, int16, int32, int64, uint8, bool.

  • GPU/CPU: float16, float32 or float64.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([0, 0.5, -0.9]), mindspore.float32)
>>> output = ops.erfinv(input)
>>> print(output)
[ 0.          0.47695306 -1.1630805 ]