mindspore.ops.erfinv
- mindspore.ops.erfinv(input)[source]
Returns the result of the inverse error function with input. It 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. When the input is int8, int16, int32, int64, uint8, bool, the return value type is float32. Otherwise, the return value type is the same as the input type.
- Raises
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. 0.47693613 -1.1630869 ]