Document feedback

Question document fragment

When a question document fragment contains a formula, it is displayed as a space.

Submission type

issue

It's a little complicated...

I'd like to ask someone.

PR

Just a small problem.

I can fix it online!

Please select the submission type

Problem type

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.

Usability

- Usability:

- 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

- Correctness:

- Technical principles, function descriptions, supported platforms, parameter types, or exceptions inconsistent with that of software implementation.

- 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

- Content Compliance:

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

- Copyright infringement.

Please select the type of question

Problem description

Describe the bug so that we can quickly locate the problem.

Submit

Document feedback

mindspore.ops.LogSpace

class mindspore.ops.LogSpace(steps=10, base=10, dtype=mstype.float32)

Generates a 1-D Tensor with a length of steps. The tensor's values are uniformly distributed on a logarithmic scale, ranging from $bas{e}^{start}$ to $bas{e}^{end}$, including both endpoints. The logarithmic scale is based on the specified base.

$$\begin{array}{r}\begin{array}{rl}& step=(end-start)/(steps-1)\\ & output=[bas{e}^{start},bas{e}^{start+1\ast step},...,bas{e}^{start+(steps-2)\ast step},bas{e}^{end}]\end{array}\end{array}$$

Warning

This is an experimental API that is subject to change or deletion.

Parameters

• steps (int, optional) – The steps must be a non-negative integer. Default: 10 .

• base (int, optional) – The base must be a non-negative integer. Default: 10 .

• dtype (mindspore.dtype, optional) – The dtype of output, include mstype.float16 , mstype.float32 or mstype.float64 . Default: mstype.float32 .

Inputs:

• start (Tensor) - Start value of interval, with shape of 0-D, dtype is float16, float32 or float64.

• end (Tensor) - End value of interval, with shape of 0-D, dtype is float16, float32 or float64.

Outputs:

Tensor has the shape as $(step,)$. Its datatype is set by the attr 'dtype'.

Raises

• TypeError – If input is not a Tensor.

• TypeError – If steps is not an int.

• TypeError – If base is not an int.

• TypeError – If dtype is not mstype.float16, mstype.float32 or mstype.float64.

• ValueError – If steps is not a non-negative integer.

• ValueError – If base is not a non-negative integer.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import Tensor, ops
>>> from mindspore import dtype as mstype
>>> logspace = ops.LogSpace(steps = 10, base = 10, dtype=mstype.float32)
>>> start = Tensor(1, mstype.float32)
>>> end = Tensor(10, mstype.float32)
>>> output = logspace(start, end)
>>> print(output)
[1.e+01 1.e+02 1.e+03 1.e+04 1.e+05 1.e+06 1.e+07 1.e+08 1.e+09 1.e+10]