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[Tracking Issue] Formalize TVM Documentation Organization #8987

@hogepodge

Description

@hogepodge

This issue is to track progress for Formalize TVM Documentation Organization

Tree refactor

  • Getting Started
    • About TVM
    • Install TVM
      • Install from Source
      • Docker Images
      • TLCPack
    • Contributor Guide
      • Community Guideline
      • Performing Code Reviews
      • Committer Guide
      • Writing Document and Tutorials
      • Code Guide and Tips
      • Error Handling Guide
      • Submitting a Pull Request
      • Git Usage Tips
      • Apache TVM Release Process
  • User Guide
    • Tutorial
      • Introduction
      • An Overview of TVM and Model Optimization
      • Installing TVM
      • Compiling and Optimizing a Model with TVMC
      • Compiling and Optimizing a Model with the Python Interface (AutoTVM)
      • Working with Operators Using Tensor Expression
      • Optimizing Operators with Schedule Templates and AutoTVM
      • Optimizing Operators with Auto-scheduling
      • Cross Compilation and RPC
      • Introduction to TOPI
      • Quick Start Tutorial for Compiling Deep Learning Models
    • How To
      • Compile Deep Learning Models
      • Deploy Deep Learning Models
      • Work With Relay
      • Work with Tensor Expression and Schedules
      • Optimize Tensor Operators
      • Auto-Tune with Templates and AutoTVM
      • Use AutoScheduler for Template-Free Auto Scheduling
      • Work With microTVM
  • Topic Guide
    • MicroTVM Guide (index to existing docs)
      • -> Work With microTVM
      • -> microTVM Architecture
    • VTA (index to existing docs)
  • Developer Guide
    • Contributor Tutorial
      • Codebase Walkthrough
    • How To
      • Write an operator
      • Write a pass
      • Write a backend
      • Write PyTest target paramaterization
  • Architecture Guide
    • Architecture Overview
    • Research Papers
    • Front-end
    • Relay: Graph-level design: IR, pass, lowering
    • TensorIR: Operator-level design: IR, schedule, pass, lowering
    • TOPI: Pre-defined operators operator coverage
    • AutoScheduler / AutoTVM: Performance tuning design
    • Runtime & microTVM design
    • Customization with vendor libraries BYOC workflow
    • RPC system
    • Target system
  • API Reference (reference)
    • Language Reference
    • API Reference
      • Generated C++ Docs…
      • Generated Python Docs…
  • Index

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