[Tracking Issue] Formalize TVM Documentation Organization

[hogepodge]

This issue is to track progress for Formalize TVM Documentation Organization

Tree refactor

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

[hogepodge]

WIP branch: https://github.com/hogepodge/tvm/tree/docs-refactor

[hogepodge]

Take 2: https://github.com/apache/tvm/pull/9203

[hogepodge]

With the changes live and many fixes in, I'm closing this issue and marking as completed.