deeplearning4j/deeplearning4j

The scan found no tool the scanner recognises.

17 other commands the scanner could not classify

Commands from CI steps and task runners that look like checks but match no known tool. Some are checks, some are not.

• Remove-Item -Path $env:ProgramData\Microsoft\Windows Defender\Scans\History\* -Recurse -Force -ErrorAction SilentlyCo...
• Start-Sleep -Seconds 10
• Start-Sleep -Seconds 2
• Start-Sleep -Seconds 5
• Write-Error nvcc found but functionality test failed: $($_.Exception.Message)
• Write-Host MSVC Version: $($latestMSVC.Name)
• Write-Host Primary CUDA path not found, checking for alternative locations...
• Write-Host Removed Windows Defender scan history
• bash $GITHUB_WORKSPACE/release-specified-component.sh ${RELEASE_VERSION} ${SNAPSHOT_VERSION} ${RELEASE_REPO_ID} ${DEP...
• bash ${GITHUB_WORKSPACE}/release-specified-component.sh ${RELEASE_VERSION} ${SNAPSHOT_VERSION} ${RELEASE_REPO_ID} ${C...
• bash ${GITHUB_WORKSPACE}/release-specified-component.sh ${RELEASE_VERSION} ${SNAPSHOT_VERSION} ${RELEASE_REPO_ID} ${M...
• bash ${GITHUB_WORKSPACE}/release-specified-component.sh ${RELEASE_VERSION} ${SNAPSHOT_VERSION} ${RELEASE_REPO_ID} ${c...
• bash %GITHUB_WORKSPACE%/release-specified-component.sh %RELEASE_VERSION% %SNAPSHOT_VERSION% %RELEASE_REPO_ID% %COMMAND%
• bash ./release-specified-component.sh %RELEASE_VERSION% %SNAPSHOT_VERSION% %RELEASE_REPO_ID%
• mvn -DskipTestResourceEnforcement=true -Dlibnd4j.build=debug -Dlibnd4j.sanitize=ON clean test
• rem Verify environment one more time
• type %GITHUB_WORKSPACE%\mvn-command.bat

full scan as JSON

• Clean up your codeMaintain clean, professional code by removing development artifacts\ \ and improving readability:\n\n1. **Remove debug code before commit...

  deeplearning4j/deeplearning4j Code Style Java ml-systems 2024-08-06

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• Centralize dependency managementManage dependencies at the top level using `` to ensure version consistency across modules and prevent conflicts. D...

  deeplearning4j/deeplearning4j Configurations Xml ml-systems 2023-04-21

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• Remove debugging artifactsProduction code should be free from debugging artifacts that reduce readability and maintainability. Remove all debugging print statement...

  deeplearning4j/deeplearning4j Code Style C++ ml-systems 2023-07-26

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• Document API completelyAll public APIs must have comprehensive and clear documentation that helps developers understand functionality without examining implemen...

  deeplearning4j/deeplearning4j Documentation Java ml-systems 2021-11-15

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• Validate and document nullsAlways handle null values explicitly and consistently throughout your codebase to prevent null pointer exceptions. Follow these guideline...

  deeplearning4j/deeplearning4j Null Handling Java ml-systems 2022-04-10

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• Descriptive error contextError messages should be specific, descriptive, and include context to help with debugging. Avoid generic messages like "Failed execution...

  deeplearning4j/deeplearning4j Error Handling C++ ml-systems 2022-05-03

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• Use logging best practicesAdopt these logging best practices to ensure consistent, efficient, and meaningful logs: 1. **Use Lombok''s `@Slf4j` annotation** instead...

  deeplearning4j/deeplearning4j Logging Java ml-systems 2021-07-20

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• Numerical stability practicesWhen implementing machine learning algorithms, ensure numerical correctness and stability by following these practices: 1. Use appropriat...

  deeplearning4j/deeplearning4j AI Java ml-systems 2021-02-22

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• User-friendly documentation examplesDocumentation should guide users toward best practices through clear examples. Begin with positive patterns before covering pitfalls, cla...

  deeplearning4j/deeplearning4j Documentation Markdown ml-systems 2019-07-25

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• Keep configurations currentEnsure all configuration elements (dependencies, build settings, preprocessor flags) are up-to-date, documented, and consistent with proj...

  deeplearning4j/deeplearning4j Configurations Other ml-systems 2023-05-08

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• Compare floating-point safelyWhen implementing numerical algorithms, never compare floating-point values directly for equality due to precision errors. Instead: 1. Us...

  deeplearning4j/deeplearning4j Algorithms Java ml-systems 2023-01-10

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• Configurable resource locationsAlways make file paths, temporary directories, and resource locations configurable with reasonable defaults instead of hard-coding them. ...

  deeplearning4j/deeplearning4j Configurations Java ml-systems 2021-08-16

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• Cross-platform algorithm optimizationWhen implementing algorithms that need to execute efficiently across different platforms, consider both compile-time and runtime optimiza...

  deeplearning4j/deeplearning4j Algorithms Other ml-systems 2021-06-22

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• Minimize object allocationsAvoid creating unnecessary temporary objects or arrays which can impact performance through increased garbage collection and memory press...

  deeplearning4j/deeplearning4j Performance Optimization Java ml-systems 2020-02-17

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• Document AI APIs completelyWhen developing AI libraries and tools, provide comprehensive and accurate API documentation that helps users navigate complex functional...

  deeplearning4j/deeplearning4j AI Markdown ml-systems 2019-10-24

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• Use modern API methodsWhen implementing algorithms with numerical libraries like ND4J, always prefer the most direct and type-safe API methods over older patte...

  deeplearning4j/deeplearning4j Algorithms Markdown ml-systems 2019-07-01

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• Fail fast clearlyDetect and report errors as early as possible with detailed context to prevent silent failures and aid debugging. Validate inputs, states...

  deeplearning4j/deeplearning4j Error Handling Java ml-systems 2018-09-03

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• Eliminate redundant codeKeep code clean by removing all forms of redundancy that affect readability and maintainability. This includes: 1. Avoid duplicate macro/...

  deeplearning4j/deeplearning4j Code Style Other ml-systems 2024-10-24

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• Use appropriate logging levelsReserve logging statements for their appropriate purposes and levels. Use debugging-level logs (`sd_debug`) for development-time diagnost...

  deeplearning4j/deeplearning4j Logging C++ ml-systems 2023-02-03

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• Clear descriptive identifiersChoose clear, self-descriptive names for all code identifiers that accurately reflect their purpose and behavior. Method names should be ...

  deeplearning4j/deeplearning4j Naming Conventions Java ml-systems 2021-07-20

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• Always secure your locksWhen using locks or other synchronization mechanisms in concurrent code, always release locks in a finally block to ensure they are relea...

  deeplearning4j/deeplearning4j Concurrency Java ml-systems 2019-12-06

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• Parameterize configuration scriptsConfiguration scripts should use variables for values that might change or are used in multiple places, such as paths, versions, and envi...

  deeplearning4j/deeplearning4j Configurations Markdown ml-systems 2019-01-01

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• Avoid environment-specific pathsAlways use environment variables or configuration mechanisms instead of hardcoding paths to compilers, tools, or directories. Hardcoded p...

  deeplearning4j/deeplearning4j Configurations Shell ml-systems 2018-06-19

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• Prevent memory leaksAlways ensure proper memory management when using dynamic allocation. Memory leaks are a critical performance issue that can degrade appl...

  deeplearning4j/deeplearning4j Performance Optimization C++ ml-systems 2025-04-17

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• Ensure test determinismCreate reliable and reproducible tests by explicitly controlling test inputs and verifying function behavior doesn''t have unintended sid...

  deeplearning4j/deeplearning4j Testing Java ml-systems 2023-03-16

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• Optimize validation checksWhen implementing validation and requirement checks, balance thoroughness with performance considerations. Critical validations should re...

  deeplearning4j/deeplearning4j Performance Optimization CUDA ml-systems 2021-09-05

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• Preserve API compatibilityWhen evolving APIs, prioritize backward compatibility to protect existing client code. Make new parameters optional whenever possible to ...

  deeplearning4j/deeplearning4j API Kotlin ml-systems 2021-08-05

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• Document in-code decisionsAlways include explanations for implementation decisions, non-obvious constructs, and specialized functions directly within the code as c...

  deeplearning4j/deeplearning4j Documentation CUDA ml-systems 2021-06-22

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• Modular adaptive configurationsStructure configuration scripts with modularity and adaptability in mind. Extract repeated parameters into variables, separate parameter ...

  deeplearning4j/deeplearning4j Configurations Yaml ml-systems 2021-05-10

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• Maintain proper capitalizationAlways use correct and consistent capitalization for product names, class names, and method names throughout code and documentation. Pay ...

  deeplearning4j/deeplearning4j Naming Conventions Markdown ml-systems 2019-10-21

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• Optimize hardware accelerationAI systems should use the most performant hardware acceleration libraries and carefully manage hardware-specific dependencies. Prefer Int...

  deeplearning4j/deeplearning4j AI Xml ml-systems 2019-09-11

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• Document AI implementation referencesWhen implementing AI algorithms or neural network operations, document the sources of specific implementation choices, especially for par...

  deeplearning4j/deeplearning4j AI C++ ml-systems 2019-04-11

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• Type-safe numerical algorithmsWhen implementing numerical algorithms, always use appropriate data types to prevent overflow and preserve precision: 1. Use `Nd4jLong` o...

  deeplearning4j/deeplearning4j Algorithms C++ ml-systems 2018-06-27

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