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]