xDSL is a Python-native framework for building compiler infrastructure.

xDSL is a Python-native Compiler Toolkit. Design your own (domain-specific) compiler by mixing predefined IRs with your custom IR abstractions. Always optimize at the optimal abstraction level by lowering programs through multiple levels of IRs.

This lets users prototype compilers entirely in Python, while still accessing MLIR's powerful optimization and code generation pipeline. All IRs in xDSL employ a unified SSA-based data structure, with regions and basic blocks, making it easy to write generic analyses and transformation passes.

xDSL -- a Python-native compiler framework

xDSL is a Python-native compiler framework built around SSA-based intermediate representations (IRs). Users of xDSL build a compiler by assembling predefined domain-specific IRs and, optionally, defining their own custom IRs. xDSL uses multi-level ...

xDSL is a Python-native compiler framework built around SSA-based intermediate representations (IRs). Users of xDSL build a compiler by assembling predefined domain-specific IRs and, optionally, defining their own custom IRs. xDSL uses multi-level ...

xDSL -- a Python-native compiler framework

xDSL uses two ways to test its code, pytest and lit. We prefer lit tests in general to test everything that isn't the Python API itself, and the riscv canonnicalization tests are also a lit test, in tests/filecheck/backend/riscv/canonicalize.mlir.

as they rely on user-defined Python data structures that · cannot be understood by the declarative nature of the IRDL · dialect. Similarly, C++ constraints and attributes with C++ parameters can be translated to PyRDL, but with a generic ... Figure 9. xDSL combines its 12 SSA dialects (296 ops) (green) with the 54 SSA dialects (1554ops) defined in the Flang, CIRCT,

A Python compiler design toolkit. Contribute to xdslproject/xdsl development by creating an account on GitHub.

A Python compiler design toolkit. There was an error while loading. Please reload this page. ... Infrastructure for the benchmarking and performance profiling of the xDSL compiler framework.

xDSL: Prototyping MLIR in Python · Sasha Lopoukhine, Mathieu Fehr, and many more! @ Teaching · (150 students / year) Research · Open-Source Development ·

xDSL is a Python-native compiler framework built around SSA-based intermediate representations (IRs). Users of xDSL build a compiler by assembling predefined domain-specific IRs and, optionally, defining their own custom IRs. xDSL uses multi-level ...

A Python compiler design toolkit. Contribute to xdslproject/xdsl development by creating an account on GitHub.

This repository contains the materials for the practical introduction to developing DSLs using MLIR nd Python course. Specifically we focus on driving the Python components via the xDSL framework and use MLIR and LLVM for compiling.

their own dialects and transformations in Python with xDSL

xDSL is a Python-based framework that enhances MLIR by enabling flexible interaction through a shared textual IR format and the IRDL dialect, which defines other dialects. It supports native Python development, DSL integration, and low-level compiler extensions, simplifying compiler research ...

xDSL is a Python compiler toolkit that is 1:1 compatible with MLIR. With over 100,000 downloads on PyPI, xDSL promotes productivity enabling people to rapidly develop and prototype new compilation abstractions and approaches.

It is used for neural network compilation by AI accelerator startups (engineers from Synthara have recently been making contributions to xDSL), and is used in Google's LiteRT framework. It is also gaining traction in the quantum compilation space, and is used by Riverlane, Xanadu's PennyLane compiler, and Eclipse's Qrisp. xDSL's use of Python's type system for compile-time type checking was cited as a motivating example in PEP 747.