tensorflow/swift

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• Teach by examplePresent concepts through clear, focused examples that demonstrate features positively rather than through comparisons or criticisms of al...

  tensorflow/swift Documentation Other ml-systems 2020-07-20

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• Mathematical precision mattersWhen implementing mathematical algorithms, ensure precise terminology and correct implementation of mathematical concepts. This is especi...

  tensorflow/swift Algorithms Markdown ml-systems 2019-11-26

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• Document environment variablesWhen using configurable components, clearly document all relevant environment variables and their effects. Include examples showing how t...

  tensorflow/swift Configurations Other ml-systems 2019-03-30

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• Document API stabilityWhen working with AI frameworks and machine learning libraries, clearly document the stability state of APIs being used. For experimental...

  tensorflow/swift AI Other ml-systems 2020-10-27

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• Format for readabilityCode should be formatted to optimize readability. Apply these key practices: 1. **Maintain reasonable line length** (typically 100 column...

  tensorflow/swift Code Style Other ml-systems 2019-12-04

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• Follow Swift naming conventionsEnsure code follows established Swift naming conventions and remains consistent with domain terminology: 1. Use standard Swift parameter ...

  tensorflow/swift Naming Conventions Swift ml-systems 2019-10-11

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• Swift idiomatic namingFollow Swift''s naming conventions to write more readable, maintainable code. The Swift language emphasizes clarity and expressiveness in...

  tensorflow/swift Naming Conventions Other ml-systems 2019-08-05

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• Generic algorithm designWhen implementing generic algorithms in Swift, follow these best practices to improve code clarity and performance: 1. Place type constra...

  tensorflow/swift Algorithms Other ml-systems 2019-08-03

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• Provide comprehensive examplesAPI documentation should include complete examples that demonstrate all key usage patterns. When documenting related functions (like diff...

  tensorflow/swift Documentation Markdown ml-systems 2019-03-16

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• Training-aware ML APIsDesign machine learning APIs with explicit parameters for distinguishing between training and inference phases rather than relying on glo...

  tensorflow/swift AI Markdown ml-systems 2019-02-19

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• Follow Swift conventionsWhen designing and documenting APIs in Swift, adhere to Swift''s established naming conventions and documentation practices: 1. **Use cor...

  tensorflow/swift API Markdown ml-systems 2019-04-23

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• Swift style consistencyMaintain consistent Swift style conventions throughout all code, including examples in documentation and comments. Follow these specific ...

  tensorflow/swift Code Style Markdown ml-systems 2019-03-08

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• Minimize cross-device transfersData transfers between different compute devices (CPU/host to GPU/accelerator and back) can significantly impact performance in heterogen...

  tensorflow/swift Performance Optimization Markdown ml-systems 2018-08-14

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