Welcome to BOAT-MindSpore Documentation

BOAT is a compositional, gradient-based Bi-Level Optimization (BLO) library that abstracts the core BLO pipeline into modular, flexible components. In this MindSpore-based implementation, BOAT is seamlessly integrated into MindSpore’s computation graph and heterogeneous hardware ecosystem (Ascend/GPU/CPU), enabling researchers and developers to build hierarchical learning tasks with customizable operator decomposition, encapsulation, and composition.

In this section, we explain the core components of BOAT, how to install the MindSpore version of BOAT, and how to use it for your optimization tasks. The main contents are organized as follows.

Installation Guide:

• Introduction
  • 🔑 Key Features
  • 🚀 Why BOAT?
  • 🌍 Applications
  • 🚩 Related Operations
  • 📜 License
• Installation and Usage Guide
  • 🔨 Installation
  • ⚡ How to Use BOAT
• BOAT-MS Structure
  • Core Problem Class
  • Main Subpackages
  • Extension with Operation_Registry

Running Example

The running example of l2 regularization is organized as follows.

Example:

• L2 Regularization with MindSpore
  • Step 1: Configuration Loading
  • Step 2: Data Preparation
  • Step 3: Model Initialization
  • Step 4: Optimizer Setup
  • Step 5: BOAT Problem Setup
  • Step 6: Training Loop
  • Step 7: Evaluation
  • Running the Example

Indices and tables

• Index

• Module Index

• Search Page