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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

Unreleased

Added

  • Comprehensive distributed training system

    • Distributed Training Infrastructure:

      • Created src/training/distributed.py with DistributedTrainer class
      • Added multi-GPU and multi-node support
      • Implemented gradient synchronization
      • Added checkpoint management

    • Training Configuration:

      • Added .config/distributed_config.toml with detailed settings
      • Configured memory optimization parameters
      • Set up communication settings
      • Added error handling configuration

    • Training Launch System:

      • Created src/training/launch.py for distributed training
      • Added support for both single-node and multi-node setups
      • Implemented worker process management
      • Added environment setup utilities

    • Makefile Integration:

      • Added train-distributed target for single-node multi-GPU
      • Added train-multi-node target for multi-node training
      • Added configurable parameters (EPOCHS, WORLD_SIZE, etc.)
      • Improved build system integration

    • Monitoring System:

      • Implemented distributed metrics collection
      • Added real-time resource tracking
      • Set up TensorBoard integration
      • Added performance visualization

  • Training pipeline enhancements

    • Streaming dataset implementation
    • Dynamic batch sizing
    • Mixed precision training
    • Gradient checkpointing
    • Memory-efficient attention

  • Monitoring and metrics

    • Real-time resource tracking
    • Performance visualization
    • TensorBoard integration
    • Distributed metrics aggregation

  • Enhanced testing infrastructure

    • Added specialized test samples for various scenarios
    • Implemented automated test result reporting
    • Created performance baseline documentation
    • Set up comprehensive CI/CD pipeline configurations
    • Added new test categories and fixtures
    • Expanded test data coverage
    • Implemented needle-in-haystack testing framework:
      • Added utils/needle_test.py for pattern search testing
      • Created test data generators and benchmarking tools
      • Added configurable test parameters and metrics
    • Enhanced specialized test runner:
      • Added tests/specialized/test_runner.py for advanced test scenarios
      • Implemented resource requirement checking
      • Added support for edge cases and stress testing
    • Expanded test configuration:
      • Added tests/test_config.toml with detailed test settings
      • Configured test categories and requirements
      • Added resource management settings
    • Added test data samples:
      • Created sample data for needle search testing
      • Added performance benchmark datasets
      • Implemented structured test data format

  • Project structure reorganization

    • Implemented modern project structure with clear separation of concerns
    • Created dedicated directories for core, data, interfaces, and utils
    • Added proper package initialization files
    • Consolidated constants and configuration management
    • Improved test organization with unit, integration, and performance tests
    • Established clear documentation structure

Changed

  • Updated Makefile with distributed training targets
  • Enhanced configuration system with distributed settings
  • Improved documentation structure and formatting
  • Optimized memory management system
  • Streamlined training pipeline
  • Enhanced test infrastructure:
    • Improved test categorization and organization
    • Updated test runner with better progress tracking
    • Enhanced test reporting and metrics collection

Fixed

  • Memory leaks in training pipeline
  • Logging duplication issues
  • Configuration loading inconsistencies
  • Resource cleanup in distributed training
  • Error handling in multi-node setup
  • Test framework issues:
    • Fixed resource allocation in specialized tests
    • Improved error handling in test runners
    • Resolved test data loading inconsistencies

0.1.0 - 2024-01-15

Added

  • Initial project structure
  • Basic training pipeline
  • Model management system
  • Configuration handling
  • CLI interface

Changed

  • Standardized code formatting
  • Improved error handling
  • Enhanced documentation

Fixed

  • Setup process issues
  • Import conflicts
  • Cache management bugs