• Manual Home

• TPU-MLIR Introduction

• Environment Setup
• Code Download
• Docker Configuration
• ModelZoo (Optional)
• Compilation

• User Interface
• Introduction
• model_transform.py
• run_calibration.py
• model_deploy.py
• Other Tools

• Overall Design
• Layered
• Top Pass
• Tpu Pass

• Front-end Conversion
• Main Work
• Workflow
• Example

• Quantization
• Basic Concepts
• Scale Conversion
• Quantization derivation

• Calibration
• General introduction
• Calibration data screening and preprocessing
• Algorithm Implementation
• Example: yolov5s calibration
• visual tool introduction

• Lowering
• Basic Process
• Mixed precision

• SubNet

• LayerGroup
• Basic Concepts
• BackwardH
• Dividing the Mem Cycle
• LMEM Allocation
• Divide the optimal Group

• GMEM Allocation
• 1. Purpose
• 1. Principle

• CodeGen

• MLIR Definition
• Top Dialect

• Accuracy Validation
• Introduction
• Validation Interface
• Validation Example

• quantzation aware traing
• Basic Principles
• tpu-mlir QAT implementation scheme and characteristics
• Installation Method
• Basic Steps
• Use Examples-resnet18
• Tpu-mlir QAT test environment
• Use Examples-yolov5s

• TpuLang Interface
• Main Work
• Work Process
• Operator Conversion Example