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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.

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- Minor inconsistencies between the UI and descriptions.

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Risk Warnings

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mindspore.Tensor.uniform

Tensor.uniform(from_=0., to=1., generator=None)

Generates random numbers that follows a uniform distribution within the half-open interval $[from\mathrm{\_},to)$.

$$P(x)=\frac{1}{to-from\mathrm{\_}}$$

Parameters

• from_ (number) – The lower bound of the interval.

• to (number) – The upper bound of the interval.

• generator (Generator, optional) – The random seed. Default: None.

Returns

Tensor, with the same shape as tensor.

Raises

TypeError – If from_ is larger than to.

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> x = mindspore.ops.ones((4, 2))
>>> generator = mindspore.Generator()
>>> generator.manual_seed(100)
>>> output = x.uniform(1., 2., generator)
>>> print(output.shape)
(4, 2)