mindspore.ops.isinf

mindspore.ops.isinf(input)[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.

Parameters: input (Tensor) – The input tensor. \((N,*)\) where \(*\) means, any number of additional dimensions.
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

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