Skip to content

Home

Jump to bottom
Marcio Machado Pereira edited this page Feb 12, 2022 · 14 revisions

Welcome to the MO436/MC934 -- Machine Learning under the hood

Table of Contents

  1. ONNX

  2. The GLOW Platform

    2.1 Building the Environment

    2.2 Compiling the Model

    2.3 Running the Inference

  3. GEMM Optimization

    3.1 NMP Backend-Specific Nodes and Instructions

    3.2 NMP Backend-Specific Transformations

    3.3 Creating bundles for NMP Backend

    3.4 Quantization

  4. ML Code Optimization

  5. The JAX Library

Clone this wiki locally