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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.mint.asin

mindspore.mint.asin(input)

Computes arcsine of input tensors element-wise.

$$ou{t}_i={\sin }^{-1}(inpu{t}_i)$$

Parameters

input (Tensor) – The shape of tensor is $(N,\ast )$, where $\ast$ means any number of additional dimensions.

Returns

Tensor, has the same shape as input. The dtype of output is float32 when dtype of input is in [bool, int8, uint8, int16, int32, int64]. Otherwise output has the same dtype as input.

Raises

TypeError – If input is not a Tensor.

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, mint
>>> input = Tensor(np.array([0.74, 0.04, 0.30, 0.56]), mindspore.float32)
>>> output = mint.asin(input)
>>> print(output)
[0.8330927  0.04001068  0.30469266  0.59438497 ]