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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.

- Ambiguous descriptions, unclear reference, or contradictory context.

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

Correctness

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- Incorrect schematic or architecture diagrams.

- Incorrect commands or command parameters.

- Incorrect code.

- Commands inconsistent with the functions.

- Wrong screenshots.

- Sample code running error, or running results inconsistent with the expectation.

Risk Warnings

- Risk Warnings:

- Lack of risk warnings for operations that may damage the system or important data.

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.reverse

mindspore.ops.reverse(x, axis)

Reverses specific dimensions of a tensor.

Warning

The value range of “axis” is [-dims, dims - 1]. “dims” is the dimension length of “input_x”.

Parameters

• x (Tensor) – The target tensor. The data type is Number except float64. The shape is $(N,\ast )$ where $\ast$ means, any number of additional dimensions.

• axis (Union[tuple(int), list(int)]) – The indices of the dimensions to reverse.

Returns

Tensor, has the same shape and type as x.

Raises

• TypeError – If axis is neither list nor tuple.

• TypeError – If element of axis is not an int.

Supported Platforms:

Ascend GPU CPU

Examples

>>> input_x = Tensor(np.array([[1, 2, 3, 4], [5, 6, 7, 8]]), mindspore.int32)
>>> output = ops.reverse(input_x, axis=[1])
>>> print(output)
[[4 3 2 1]
 [8 7 6 5]]
>>> input_x = Tensor(np.array([[1, 2, 3, 4], [5, 6, 7, 8]]), mindspore.int32)
>>> output = ops.reverse(input_x, axis=[1, 0])
>>> print(output)
[[8 7 6 5]
 [4 3 2 1]]