Update config manager for 0.3.0 #257
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Summary of Changes
Hello @chenyushuo, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request primarily updates the configuration management system to align with the upcoming 0.3.0 release, focusing on expanding support for advanced distributed training strategies and improving the overall configurability of the system. It integrates plugin loading more robustly and refines various training-related parameters, making the configuration process more flexible and comprehensive.
Highlights
- Configuration Manager Update: Significant enhancements to the configuration manager to support new distributed training strategies (FSDP2, Megatron) with detailed options for offloading, parallelization, and recomputation. This includes adding new configurable parameters for model training and refining existing ones.
- Plugin Loading Integration: The
load_plugins()function is now explicitly called early in the application'srunfunction and within theConfigManagerinitialization, ensuring proper discovery and loading of plugins. - Training Parameter Refinements: Adjustments were made to the calculation and validation of
train_batch_size, and new model parameters such asmax_prompt_tokensandmin_response_tokenshave been introduced for finer control over model behavior. - Code Cleanup and Simplification: Deprecated elements like the
MonitorTypeenum have been removed, thesave_intervallogic has been simplified, and several unused or redundant configuration options have been streamlined.
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Code Review
This pull request introduces significant updates to the configuration manager, adding support for new training strategies like fsdp2 and megatron, and refactoring the configuration generation logic. It also aims to fix plugin loading. My review identifies a critical issue in the plugin loading implementation, a potential risk in how configurations for different training strategies are combined, and a user interface improvement to avoid confusion. Addressing these points will enhance the robustness and usability of the new features.
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/unittest-module-utils |
Summary
Tests
Github Test Reporter by CTRF 💚 |
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/unittest-module-common |
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Tests
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Description
load_plugin.Checklist
Please check the following items before code is ready to be reviewed.