mindspore.ops.isnan

mindspore.ops.isnan(input)[source]

Determines which elements are NaN for each position.

\begin{array}{r} o u t_{i} = {\begin{cases} T r u e, if i n p u t_{i} = Nan \\ F a l s e, if i n p u t_{i} \neq Nan \end{cases} \end{array}

where $N a n$ 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