mindspore.ops.isinf

mindspore.ops.isinf(input)

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

$$\begin{array}{r}ou{t}_i=\{\begin{array}{ll}& True,\text{ if }{x}_i=\text{Inf}\\ & False,\text{ if }{x}_i\ne \text{Inf}\end{array}\end{array}$$

where $Inf$ means not a number.

Parameters

input (Tensor) – The input tensor. $(N,\ast )$ where $\ast$ 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]