Training_Orchestration_Configuration.md

graph LR
    ReFL_Base_Training_Orchestrator["ReFL Base Training Orchestrator"]
    SDXL_Training_Orchestrator["SDXL Training Orchestrator"]
    SDXL_LoRA_Training_Orchestrator["SDXL LoRA Training Orchestrator"]
    Training_Configuration_Utilities["Training Configuration Utilities"]
    SDXL_Training_Orchestrator -- "specializes" --> ReFL_Base_Training_Orchestrator
    SDXL_LoRA_Training_Orchestrator -- "specializes" --> SDXL_Training_Orchestrator
    ReFL_Base_Training_Orchestrator -- "depends on" --> Training_Configuration_Utilities
    SDXL_Training_Orchestrator -- "depends on" --> Training_Configuration_Utilities
    SDXL_LoRA_Training_Orchestrator -- "depends on" --> Training_Configuration_Utilities
    Training_Configuration_Utilities -- "supports" --> ReFL_Base_Training_Orchestrator
    Training_Configuration_Utilities -- "supports" --> SDXL_Training_Orchestrator
    Training_Configuration_Utilities -- "supports" --> SDXL_LoRA_Training_Orchestrator

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Details

The Training Orchestration & Configuration subsystem is central to initiating, configuring, and managing the overall training process within the ImageReward project, including distributed training setup and command-line argument handling.

ReFL Base Training Orchestrator

Manages the fundamental training process for the ImageReward model, including data preparation and transformations. It serves as the base for more specialized training pipelines.

Related Classes/Methods:

• ImageReward.ReFL

SDXL Training Orchestrator

Orchestrates training specifically for the SDXL model variant. This includes handling SDXL-specific model initialization, loss computation, and managing the training loop.

Related Classes/Methods:

• ImageReward.ReFL_SDXL

SDXL LoRA Training Orchestrator

Extends the SDXL Training Orchestrator to manage LoRA fine-tuning. This component handles LoRA-specific model persistence, loss calculations, and validation logging.

Related Classes/Methods:

• ImageReward.ReFL_SDXL_LoRA

Training Configuration Utilities

Provides essential utility functions for managing the training environment. This includes handling file paths, creating necessary directories, and determining distributed training ranks.

Related Classes/Methods:

• train.src.config.utils

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