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MASE 0.0.1 documentation
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Overview
Installation
Getting Started using uv
Getting Started using Docker
Additional Instructions for Imperial College Students
Quickstart
Tutorials
Tutorial 1: Introduction to the Mase IR, MaseGraph and Torch FX passes
Tutorial 2: Finetuning Bert for Sequence Classification using a LoRA adapter
Tutorial 3: Running Quantization-Aware Training (QAT) on Bert
Tutorial 4: Unstructured Pruning on Bert
Tutorial 5: Neural Architecture Search (NAS) with Mase and Optuna
Tutorial 6: Mixed Precision Quantization Search with Mase and Optuna
Tutorial 7: MX Post-Training Quantization with Mase
Developer: Guide on how to add a new model into Chop
Developer: How to write documentations in MASE
Developer: How to extend search
Coding Style Specifications
Python Coding Style Specifications
Advanced Deep Learning Systems
Advanced Deep Learning Systems: 2024/2025
Lab 0: Introduction to Mase
Lab 1: Model Compression (Quantization and Pruning)
Lab 2: Neural Architecture Search
Lab 3: Mixed Precision Search
Lab 4 (Software Stream) Performance Engineering
ADLS Docker Environment Setup
Advanced Deep Learning Systems: 2023/2024
Lab 1 for Advanced Deep Learning Systems (ADLS)
Lab 2 for Advanced Deep Learning Systems (ADLS)
Lab 3 for Advanced Deep Learning Systems (ADLS)
Lab 4 (Software Stream) for Advanced Deep Learning Systems (ADLS)
ADLS Docker Environment Setup
.rst
.pdf
Coding Style Specifications
Coding Style Specifications
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Coding Style Specifications
Python Coding Style Specifications