mindspore.ops.IsNan

class mindspore.ops.IsNan[source]

Determines which elements are NaN for each position.

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

where \(Nan\) means not a number.

Inputs:

x (Tensor) - The input tensor. \((N,*)\) where \(*\) means, any number of additional dimensions.

Outputs:

Tensor, has the same shape of input, and the dtype is bool.

Raises: TypeError – If x is not a Tensor.

Supported Platforms:: GPU CPU

Examples

>>> is_nan = ops.IsNan()
>>> x = Tensor(np.array([np.log(-1), 1, np.log(0)]), mindspore.float32)
>>> output = is_nan(x)
>>> print(output)
[ True False False]