mindspore.ops.IsNan
- class mindspore.ops.IsNan[source]
Determines which elements are NaN for each position.
\[\begin{split}out_i = \begin{cases} & \text{ if } x_{i} = \text{Nan},\ \ True \\ & \text{ if } x_{i} \ne \text{Nan},\ \ False \end{cases}\end{split}\]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]