mindspore.ops.sinc

mindspore.ops.sinc(input)[source]

Computes the normalized sinc of input.

\[\begin{split}out_i = \begin{cases} \frac{sin(\pi input_i)}{\pi input_i} & input_i\neq 0\\ 1 & input_i=0 \end{cases}\end{split}\]

Parameters: input (Tensor) – The input Tensor.
Returns: Tensor, has the same shape as the input. The dtype of output is float32 when dtype of input is in [int, bool]. Otherwise output has the same dtype as the input.
Raises: TypeError – If input is not a Tensor.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([0.62, 0.28, 0.43, 0.62]), mindspore.float32)
>>> output = ops.sinc(input)
>>> print(output)
[0.47735003 0.8759357  0.7224278  0.47735003]