mindspore.mint.sinc

mindspore.mint.sinc(input)[source]

Compute the normalized sinc of input.

\begin{array}{r} o u t_{i} = {\begin{cases} \frac{s i n (π i n p u t_{i})}{π i n p u t_{i}} & i n p u t_{i} \neq 0 \\ 1 & i n p u t_{i} = 0 \end{cases} \end{array}

Parameters: input (Tensor) – The input tensor.
Returns: Tensor.

Supported Platforms:: Ascend

Examples

>>> import mindspore
>>> input = mindspore.tensor([0.62, 0.28, 0.43, 0.62], mindspore.float32)
>>> output = mindspore.mint.sinc(input)
>>> print(output)
[0.47735003 0.8759357  0.7224278  0.47735003]