commit	27bd6f7d3baf5f27dc0e862cf3225ff27f557532	[log] [tgz]
author	MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com>	Fri Feb 18 09:18:13 2022 -0800
committer	GitHub <noreply@github.com>	Fri Feb 18 09:18:13 2022 -0800
tree	e8edb1b77d062c9e0e789662171335a4b2e0e717
parent	d9289adb6b7051cab7239d8c8300050f0ee55f67 [diff]

Move tile and distribute out of Flow dialect (#8362)

Currently the IREE compilation flow tiles and distributes at the Flow
level. This leads to a very early decision being made on what to
distribute, and is a phase ordering issue. It is better to have
backends decide how to tile and distribute ops in a dispatch. This
would allow

Different backends to make different decisions on what parallel
dimensions to distribute.
Allow backends to do things like interchange the loops before
distribution that helps improve performance in some cases.
It also simplifies the code a lot. This particular change is mostly
NFC since it removes the tile and distribute at flow level, and adds a
pass to do the same tile and distribute as the first step in during
translation. Issue #8363 captures the next steps involved to complete
the transition to get to a overall better state.

27 files changed

tree: e8edb1b77d062c9e0e789662171335a4b2e0e717

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.