mindspore.ops.isnan

mindspore.ops.isnan(input)[source]

Determines which elements are NaN for each position.

\[\begin{split}out_i = \begin{cases} & \ True,\ \text{ if } input_{i} = \text{Nan} \\ & \ False,\ \text{ if } input_{i} \ne \text{Nan} \end{cases}\end{split}\]

where \(Nan\) means not a number.

Parameters: input (Tensor) – The input tensor.
Returns: Tensor, has the same shape of input, and the dtype is bool.
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
>>> x = Tensor(np.array([np.log(-1), 1, np.log(0)]), mindspore.float32)
>>> output = ops.isnan(x)
>>> print(output)
[ True False False]
>>> x = Tensor(2.1, mindspore.float64)
>>> output = ops.isnan(x)
>>> print(output)
False