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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.

- Low writing fluency that does not affect understanding.

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

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- Incorrect or missing key steps.

- Missing main function descriptions, keyword explanation, necessary prerequisites, or precautions.

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- Unclear logic, such as missing classifications, items, and steps.

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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- Contents that may violate applicable laws and regulations or geo-cultural context-sensitive words and expressions.

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mindspore.ops.TupleToArray

class mindspore.ops.TupleToArray

Converts a tuple to a tensor.

Refer to mindspore.ops.tuple_to_array() for more details.

Inputs:

• input_x (tuple) - A tuple of numbers. These numbers have the same type. The shape is $(N,)$.

Outputs:

Tensor, if the input tuple contains N numbers, then the shape of the output tensor is $(N,)$.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import ops
>>> input_x = (1,2,3)
>>> print(type(input_x))
<class 'tuple'>
>>> output = ops.TupleToArray()(input_x)
>>> print(type(output))
<class 'mindspore.common.tensor.Tensor'>
>>> print(output)
[1 2 3]