graph LR
Perforated_Bottleneck_Layers["Perforated Bottleneck Layers"]
Perforated_Bottleneck_Utilities["Perforated Bottleneck Utilities"]
PerforatedAI_Core_General_Deep_Learning_Operations_["PerforatedAI Core (General Deep Learning Operations)"]
PerforatedAI_Integration_Layer_API["PerforatedAI Integration Layer/API"]
Examples_and_Demonstrations["Examples and Demonstrations"]
Configuration_Management["Configuration Management"]
Testing_Suite["Testing Suite"]
Perforated_Bottleneck_Layers -- "utilizes" --> Perforated_Bottleneck_Utilities
Perforated_Bottleneck_Utilities -- "supports" --> Perforated_Bottleneck_Layers
PerforatedAI_Core_General_Deep_Learning_Operations_ -- "integrates" --> Perforated_Bottleneck_Layers
Perforated_Bottleneck_Layers -- "extends or builds upon" --> PerforatedAI_Core_General_Deep_Learning_Operations_
PerforatedAI_Integration_Layer_API -- "exposes" --> Perforated_Bottleneck_Layers
Perforated_Bottleneck_Layers -- "adheres to" --> PerforatedAI_Integration_Layer_API
Examples_and_Demonstrations -- "instantiates and uses" --> Perforated_Bottleneck_Layers
Perforated_Bottleneck_Layers -- "are showcased by" --> Examples_and_Demonstrations
Perforated_Bottleneck_Layers -- "reads configuration from" --> Configuration_Management
Configuration_Management -- "provides parameters to" --> Perforated_Bottleneck_Layers
Testing_Suite -- "validates the functionality of" --> Perforated_Bottleneck_Layers
Perforated_Bottleneck_Layers -- "are subject to tests by" --> Testing_Suite
The Perforated Bottleneck Components subsystem, as part of the broader perforatedai deep learning library, is designed with a modular and API-centric architecture. It focuses on providing specialized building blocks for neural network research.
Implements the core custom neural network layers and architectural building blocks that define the Perforated Bottleneck methodology. These layers are the fundamental computational units for constructing Perforated Bottleneck models.
Related Classes/Methods:
perforatedai.pb_layer
Provides a collection of helper functions, data structures, and utility classes specifically designed to support the creation, manipulation, and analysis of Perforated Bottleneck layers and models.
Related Classes/Methods:
perforatedai.pb_utils
Encompasses the broader foundational deep learning operations, base classes for models, and general algorithms within the perforatedai library. Perforated Bottleneck Layers would likely inherit from or integrate with components defined here.
Related Classes/Methods:
perforatedai.core(1:1000)perforatedai.models(1:1000)
Defines the public interfaces and mechanisms for integrating Perforated Bottleneck components and other perforatedai features into external deep learning frameworks (e.g., PyTorch models, optimizers, data pipelines).
Related Classes/Methods:
perforatedai.api(1:1000)perforatedai.integration(1:1000)
Contains practical examples, tutorials, and demonstration scripts that illustrate how to construct, train, and evaluate neural networks using the Perforated Bottleneck components.
Related Classes/Methods:
examples(1:1000)demos(1:1000)
Handles the loading, parsing, and management of configuration parameters and global settings that influence the behavior of Perforated Bottleneck components and the overall library.
Related Classes/Methods:
perforatedai.config(1:1000)
Comprises unit tests, integration tests, and potentially performance benchmarks to ensure the correctness, robustness, and efficiency of the Perforated Bottleneck layers and utilities.
Related Classes/Methods:
tests(1:1000)