Public_API_Configuration.md

graph LR
    Public_API_Configuration["Public API & Configuration"]
    Model_Management["Model Management"]
    Neuron_Layer_Tracking["Neuron Layer Tracking"]
    Utility_Functions["Utility Functions"]
    Public_API_Configuration -- "orchestrates interactions with" --> Model_Management
    Public_API_Configuration -- "orchestrates interactions with" --> Neuron_Layer_Tracking
    Public_API_Configuration -- "utilizes" --> Utility_Functions
    Model_Management -- "accessed by" --> Public_API_Configuration
    Model_Management -- "may utilize" --> Utility_Functions
    Neuron_Layer_Tracking -- "accessed by" --> Public_API_Configuration
    Neuron_Layer_Tracking -- "interacts with" --> Model_Management
    Utility_Functions -- "supports" --> Public_API_Configuration
    Utility_Functions -- "supports" --> Model_Management
    Utility_Functions -- "supports" --> Neuron_Layer_Tracking
    click Public_API_Configuration href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PerforatedAI/Public_API_Configuration.md" "Details"

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Details

The perforatedai subsystem, designed as a Deep Learning Library/Research Toolkit, is structured around a modular and API-centric approach. Its core functionality is exposed through a public API, which orchestrates interactions with specialized internal components for model management, neuron layer tracking, and general utilities, all while centralizing configuration.

Public API & Configuration [Expand]

Serves as the primary interface for users to interact with the library, exposing core functionalities and managing global settings and hyperparameters. It acts as the central orchestrator for high-level operations.

Related Classes/Methods:

• perforatedai (1:1)
• perforatedai.pb_globals (1:1)

Model Management

Encapsulates the definition, loading, and execution of deep learning models, providing the core computational capabilities of the library. It handles the lifecycle and operations of various neural network architectures.

Related Classes/Methods:

• perforatedai.pb_models

Neuron Layer Tracking

Manages and tracks the state, activations, or other relevant metrics of individual neuron layers within models. This component is crucial for research and analysis, enabling detailed introspection into model behavior.

Related Classes/Methods:

• perforatedai.pb_neuron_layer_tracker (33:1531)

Utility Functions

Provides a collection of reusable helper functions, data processing routines, and general-purpose tools that support various operations across the library, ensuring code reusability and efficiency.

Related Classes/Methods:

• perforatedai.pb_utils

FAQ