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issue

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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.

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Problem description

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

sciai.common

Common module, involving datasets, initializers, optimizers, and train cells.

API Name

Description

Supported Platforms

sciai.common.DatasetGenerator

Common data generator.

GPU CPU Ascend

sciai.common.lbfgs_train

L-BFGS training function, which can only run on PYNATIVE mode currently.

GPU CPU Ascend

sciai.common.LbfgsOptimizer

L-BFGS second-order optimizer, which is currently only supported in PYNATIVE_MODE.

GPU CPU Ascend

sciai.common.LeCunNormal

Yann LeCun Normal Initialization N(0,sigma2) in order to initialize a tensor, where

GPU CPU Ascend

sciai.common.LeCunUniform

Yann LeCun Normal Initialization U(boundary,boundary) in order to initialize a tensor, where

GPU CPU Ascend

sciai.common.Sampler

Common data sampler.

GPU CPU Ascend

sciai.common.StandardUniform

Generates an array with values sampled from Standard Uniform distribution U(boundary,boundary) in order to initialize a tensor, where

GPU CPU Ascend

sciai.common.TrainCellWithCallBack

TrainOneStepCell with callbacks, which can handle multi-losses.

GPU CPU Ascend

sciai.common.TrainStepCell

Cell with gradient descent, similar to nn.TrainOneStepCell, but can accept multi-losses return.

Ascend GPU CPU

sciai.common.XavierTruncNormal

Xavier Truncated Normal Initialization with clip of 2 times of stddev from mean of Xavier Normal Initialization.

GPU CPU Ascend