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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

- Incorrect links, empty cells, or wrong formats.

- Chinese characters in English context.

- Minor inconsistencies between the UI and descriptions.

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- Incorrect version numbers, including software package names and version numbers on the UI.

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Correctness

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- Incorrect code.

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Risk Warnings

- Risk Warnings:

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Content Compliance

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mindspore.ops.FloatStatus

class mindspore.ops.FloatStatus

Determines if the elements contain Not a Number(NaN), infinite or negative infinite. 0 for normal, 1 for overflow.

Inputs:

• x (Tensor) - The input tensor. The data type must be float16, float32 or float64. $(N,\ast )$ where $\ast$ means, any number of additional dimensions.

Outputs:

Tensor, has the shape of $(1,)$, and the dtype is mindspore.dtype.float32.

Raises

TypeError – If dtype of x is not in [float16, float32, float64].

Supported Platforms:

GPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> float_status = ops.FloatStatus()
>>> x = Tensor(np.array([np.log(-1), 1, np.log(0)]), mindspore.float32)
>>> result = float_status(x)
>>> print(result)
[1.]