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Training_Orchestrator.md

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graph LR
    Training_Orchestrator["Training Orchestrator"]
    ReZero_Trainer["ReZero Trainer"]
    UniZero_Segment_Trainer["UniZero Segment Trainer"]
    Update_Calculation_Utility["Update Calculation Utility"]
    DDP_Synchronization_Utility["DDP Synchronization Utility"]
    DDP_All_Reduce_Sum_Utility["DDP All-Reduce Sum Utility"]
    Policy_Components["Policy Components"]
    Worker_Components["Worker Components"]
    Training_Orchestrator -- "drives" --> Policy_Components
    Training_Orchestrator -- "manages" --> Worker_Components
    ReZero_Trainer -- "utilizes" --> Update_Calculation_Utility
    ReZero_Trainer -- "utilizes" --> DDP_Synchronization_Utility
    ReZero_Trainer -- "utilizes" --> DDP_All_Reduce_Sum_Utility
    UniZero_Segment_Trainer -- "utilizes" --> Update_Calculation_Utility
    UniZero_Segment_Trainer -- "utilizes" --> DDP_Synchronization_Utility
    UniZero_Segment_Trainer -- "utilizes" --> DDP_All_Reduce_Sum_Utility
    Policy_Components -- "interact with" --> Worker_Components
    Training_Orchestrator -- "updates" --> Policy_Components
    click Training_Orchestrator href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/LightZero/Training_Orchestrator.md" "Details"
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Details

Analysis of the Training Orchestrator subsystem within the LightZero project, detailing its components, responsibilities, and interactions.

Training Orchestrator [Expand]

The overarching component that initiates and manages the entire training process for different reinforcement learning algorithms. It coordinates the interaction between policy, worker, and utility components.

Related Classes/Methods:

ReZero Trainer

The main entry point and orchestrator for the ReZero algorithm's training loop. It sets up the environment, policy, and workers, and drives the training iterations.

Related Classes/Methods:

UniZero Segment Trainer

The main entry point and orchestrator for the UniZero segment training process. Similar to ReZero Trainer, it manages the specific training flow for UniZero.

Related Classes/Methods:

Update Calculation Utility

A utility function used by the trainers to determine the number of policy updates to perform per data collection step, crucial for efficient training.

Related Classes/Methods:

DDP Synchronization Utility

A utility function for synchronizing processes in a Distributed Data Parallel (DDP) training setup, ensuring consistent state across multiple training nodes.

Related Classes/Methods:

DDP All-Reduce Sum Utility

A utility function for performing an all-reduce sum operation across DDP processes, typically used for aggregating gradients or statistics in distributed training.

Related Classes/Methods:

Policy Components

Represents various policy implementations (e.g., AlphaZero, MuZero policies) that are configured, activated, and updated by the Training Orchestrator. These components encapsulate the decision-making logic.

Related Classes/Methods:

Worker Components

Represents components responsible for interacting with the environment, collecting data, and evaluating policies (e.g., AlphaZero collector, MuZero evaluator). These are managed and coordinated by the Training Orchestrator.

Related Classes/Methods:

FAQ