commit	03e7f17d787b6374cf43a5a74fa47d3a9b6d8f15	[log] [tgz]
author	MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com>	Wed Mar 09 10:36:14 2022 -0800
committer	GitHub <noreply@github.com>	Wed Mar 09 10:36:14 2022 -0800
tree	d430ea037360075fbeaf153432e38b72bbc0d1e8
parent	35bc9a1e1a95b2c1d53ce1c2043ba2251c12ed14 [diff]

Cleanup `LoweringConfigAttr`, `TranslationInfoAttr` and `CompilationInfoAttr` (#8504)

This path does some cleanups to these attributes.

- Make native_vector_size and workload_per_wg fields in
LoweringConfigAttr and TranslationInfoAttr default valued. More
fields can now be added in a similar way, and this allows pipelines
to independently set the values of attributes here without having to
change the world.
- Drop all uses of native_vector_size. They arent needed anymore.
- Move DispatchLoweringPassPipeline to use I32EnumAttr in preparation
of upcoming changes.
- Make the mnemonics used consistent with upstream usage by dropping
uses of `.`.
- Fix the assembly format of CompilationInfoAttr.

47 files changed

tree: d430ea037360075fbeaf153432e38b72bbc0d1e8

README.md

IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.

See our website for project details, user guides, and instructions on building from source.

Project Status

IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!

Communication Channels

GitHub issues: Feature requests, bugs, and other work tracking
IREE Discord server: Daily development discussions with the core team and collaborators
iree-discuss email list: Announcements, general and low-priority discussion

Related Project Channels

MLIR topic within LLVM Discourse: IREE is enabled by and heavily relies on MLIR. IREE sometimes is referred to in certain MLIR discussions. Useful if you are also interested in MLIR evolution.

Build Status

CI System	Build System	Platform	Architecture	Configuration / Component
Kokoro	Bazel	Linux	x86-64
Kokoro	CMake & Bazel	Linux	x86-64 (swiftshader)	Integrations
Kokoro	CMake & Bazel	Linux	x86-64 (turing)	Integrations
Kokoro	CMake	Linux	x86-64 (swiftshader)
Kokoro	CMake	Linux	x86-64 (swiftshader)	asan
Kokoro	CMake	Linux	x86-64 (turing)
Kokoro	CMake	Android	arm64-v8a	Runtime (build only)
Kokoro	CMake	Bare Metal	risc-v-32	Runtime
Kokoro	CMake	Linux	risc-v-64	Runtime
Buildkite	CMake	Android	arm64-v8a	Runtime
BuildKite	CMake	Android	arm64-v8a	Runtime Benchmarks
BuildKite	CMake	Linux	x86-64	Tracing + Standalone Runtime

Architecture Overview

IREE Architecture

See our website for more information.

Presentations and Talks

2021-06-09: IREE Runtime Design Tech Talk (recording and slides)
2020-08-20: IREE CodeGen: MLIR Open Design Meeting Presentation (recording and slides)
2020-03-18: Interactive HAL IR Walkthrough (recording)
2020-01-31: End-to-end MLIR Workflow in IREE: MLIR Open Design Meeting Presentation (recording and slides)

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.