mindspore.mint.sin

mindspore.mint.sin(input)[source]

Computes sine of the input element-wise.

\[output_i = \sin(input_i)\]

Parameters

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

Returns

Tensor, has the same shape and dtype as the 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 the input.

Raises

TypeError – If input is not a Tensor.
TypeError –
- Ascend: If type of input is not bool, int8, uint8, int16, int32, int64, float16, float32 or float64, complex64, complex128.

Supported Platforms:: Ascend

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, mint
>>> input = Tensor(np.array([0.62, 0.28, 0.43, 0.62]), mindspore.float32)
>>> output = mint.sin(input)
>>> print(output)
[0.58103514 0.27635565 0.4168708 0.58103514]