mindspore.ops.IsInf

class mindspore.ops.IsInf[source]

Determines which elements are inf or -inf for each position

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

where \(Inf\) 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

Examples

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