MLIR
Multi-Level IR Compiler Framework
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Talks and Related Publications
Users of MLIR
Getting Started
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FAQ
How to Contribute
Developer Guide
Open Projects
Glossary
Testing Guide
Code Documentation
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Dialects
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Affine Dialect
Dialect 'affine' definition
Dialect 'fxpmath' definition
Dialect 'gpu' definition
Dialect 'linalg' definition
Dialect 'loop' definition
Dialect 'nvvm' definition
Dialect 'omp' definition
Dialect 'quant' definition
Dialect 'rocdl' definition
Dialect 'shape' definition
Dialect 'spv' definition
Dialect 'vector' definition
GPU Dialect
Linalg Dialect
LLVM IR Dialect
SPIR-V Dialect
Standard Dialect
Vector Dialect
Toy
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Chapter 1: Toy Tutorial Introduction
Chapter 2: Emitting Basic MLIR
Chapter 3: High-level Language-Specific Analysis and Transformation
Chapter 4: Enabling Generic Transformation with Interfaces
Chapter 5: Partial Lowering to Lower-Level Dialects for Optimization
Chapter 6: Lowering to LLVM and CodeGeneration
Chapter 7: Adding a Composite Type to Toy
Background: declarative builders API
Conversion to the LLVM Dialect
Dialect Conversion
Introduction and Usage Guide to MLIR's Diagnostics Infrastructure
Introduction to MLIR Interfaces
Introduction to MLIR Operation Traits
Linalg Dialect Rationale: The Case For Compiler-Friendly Custom Operations
MLIR Generic DAG Rewriter Infrastructure
MLIR Passes
MLIR Quantization
MLIR Rationale
MLIR Specification
MLIR: Incremental Application to Graph Algorithms in ML Frameworks
MLIR: The case for a simplified polyhedral form
Operation Canonicalization in MLIR
Quickstart tutorial to adding MLIR graph rewrite
Quickstart tutorial to defining custom dialect attributes and types
Shape inference
Symbols and Symbol Tables
Table-driven Declarative Rewrite Rule (DRR)
Table-driven Operation Definition Specification (ODS)
Usage of 'Const' in MLIR, for core IR types
Writing a Pass
MLIR
MLIR