mindspore.ops.isinf

mindspore.ops.isinf(input)[source]

Determines which elements are inf or -inf for each position.

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

where \(Inf\) means value is infinite.

Warning

This is an experimental API that is subject to change.
For Ascend, it is only supported on platforms above Atlas A2.

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 CPU GPU

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.isinf(x)
>>> print(output)
[False False True]
>>> x = Tensor(2.1, mindspore.float64)
>>> output = ops.isinf(x)
>>> print(output)
False