mindspore.ops.IsNan

class mindspore.ops.IsNan[source]

Determines which elements are NaN for each position.

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

where $N a n$ 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]