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Keep configurations current

deeplearning4j/deeplearning4j
Based on 4 comments
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Ensure all configuration elements (dependencies, build settings, preprocessor flags) are up-to-date, documented, and consistent with project standards. This practice prevents issues arising from outdated references and improves maintainability for team members.

Configurations Other

Reviewer Prompt

Ensure all configuration elements (dependencies, build settings, preprocessor flags) are up-to-date, documented, and consistent with project standards. This practice prevents issues arising from outdated references and improves maintainability for team members.

Key practices include:

  1. Document special configuration elements in README files or documentation:
    // In NecAurora.md:
    // .vc/.vcpp file extensions are used to differentiate VE device files 
    // from c/cpp in cmake. Cmake will compile them using nec.
    
  2. Update preprocessor definitions when dependencies change names or versions:
    -#ifdef HAVE_MKLDNN
    +#ifdef HAVE_ONEDNN
    // Updated to reflect new dependency name
    
  3. Maintain consistent tool versions across related projects (e.g., same Maven version for all modules)

  4. Verify third-party dependencies comply with organizational policies before inclusion, especially for licensing requirements

Regularly audit configuration files to ensure they remain aligned with current technologies, dependency versions, and organizational standards.

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