VGSLify Documentation

VGSLify is a powerful tool for creating and managing deep learning models using the Variable-size Graph Specification Language (VGSL). With support for both TensorFlow and PyTorch backends, VGSLify enables rapid prototyping and easy conversion between model code and compact string specifications.

This documentation provides a comprehensive guide to getting started with VGSLify, advanced usage examples, and detailed API references.

Getting Started

If you are new to VGSLify, start with these guides:

Getting Started:

• Introduction
  • Overview of VGSLify
  • Why Use VGSLify?
  • Links to Documentation
• Installation
  • Prerequisites
  • Installing VGSLify
  • Verifying Installation
• Getting Started
  • Overview
  • Simple Example: Building a Model
  • Explanation of Layers
  • Quick Start with Custom Layers (Advanced)
  • Next Steps
  • Additional Topics
• Tutorials
  • Tutorial 1: Building a CNN for Image Classification
  • Tutorial 2: Creating an LSTM for Sequence Prediction
  • Tutorial 3: Converting Models Back to VGSL Specification
  • Additional Topics

User Guides

Explore advanced usage and customization examples:

User Guides:

• Supported Layers
  • Layer Specifications
  • Custom Layers
  • More Examples
• Converting Models Back to VGSL Spec
  • How It Works
• Advanced Usage and Customization
  • Custom Layer Registration
  • Custom Parser Registration
  • Extending Model Conversion
  • Debugging and Best Practices
  • Integrating VGSLify in Larger Workflows

API Reference

For developers looking for technical details, refer to the API docs:

API Reference:

• vgslify package
  • Subpackages
  • Submodules
  • vgslify.generator module
  • Module contents
• vgslify.core package
  • Submodules
  • vgslify.core.config module
  • vgslify.core.factory module
  • vgslify.core.spec_parser module
  • vgslify.core.utils module
  • Module contents
• vgslify.model_parsers package
  • Submodules
  • vgslify.model_parsers.base module
  • vgslify.model_parsers.torch module
  • vgslify.model_parsers.tensorflow module
  • Module contents
• vgslify.tensorflow package
  • Submodules
  • vgslify.tensorflow.layers module
  • Module contents
• vgslify.torch package
  • Submodules
  • vgslify.torch.layers module
  • Module contents
• vgslify.utils package
  • Submodules
  • vgslify.utils.model_to_spec module
  • Module contents

Indices and Tables

• Index

• Module Index

• Search Page