mindspore.Tensor.isinf

Tensor.isinf() → Tensor

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

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

where \(Inf\) means value is infinite.

Warning

• For Ascend, it is only supported on platforms above Atlas A2.

Returns

Tensor, has the same shape of self, and the dtype is bool.

Supported Platforms:

Ascend CPU GPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor
>>> x = Tensor(np.array([np.log(-1), 1, np.log(0)]), mindspore.float32)
>>> output = x.isinf(x)
>>> print(output)
[False False True]
>>> x = Tensor(2.1, mindspore.float64)
>>> output = x.isinf()
>>> print(output)
False