mindspore.Tensor.isinf

Tensor.isinf() → Tensor

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

\begin{array}{r} o u t_{i} = {\begin{cases} T r u e, if s e l f_{i} = Inf \\ F a l s e, if s e l f_{i} \neq Inf \end{cases} \end{array}

where $I n f$ 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()
>>> print(output)
[False False True]
>>> x = Tensor(2.1, mindspore.float64)
>>> output = x.isinf()
>>> print(output)
False