commit	ad8f733a3db8d057d9a5ced0353fd09784ed909a	[log] [tgz]
author	Geoffrey Martin-Noble <gcmn@google.com>	Thu Oct 21 09:18:54 2021 -0700
committer	GitHub <noreply@github.com>	Thu Oct 21 09:18:54 2021 -0700
tree	c8ea7b404dc733ebfa54f7819c31b75aeefd8686
parent	cde0270b213028070f5600bb6c294e9f400a0d9e [diff]

Some cleanup to docker images (#7406)

At this point all of our builds use Python. With
https://github.com/google/iree/pull/7347 the last holdouts are growing a
dep on yaml to be able to run traces. So I squashed `cmake-python` into
`cmake` and shortened all the dependents by dropping `python` from their
name.

Some other cleanups, some of which were unfortunately necessary to be able to rebuild our images. Hooray unreproducible builds!
1. The rbe-toolchain image was never actually updated to bump the swiftshader commit in https://github.com/google/iree/pull/7117 and
https://github.com/google/iree/pull/6859, and the newer commits don't
actually build there so I had to restore the commit in the Dockerfile to
the one that has actually always been the one the image is using. See
https://github.com/google/iree/issues/7419.
2. The place we were fetching the Vulkan SDK from is no longer
available, so I had to rebundle it and stash it in our GCS. Upgrading
Vulkan is a huge undertaking that I'm not going to undertake right now.
3. Deleted the `cmake-bazel-frontends-android` image, which is
unused.

36 files changed

tree: c8ea7b404dc733ebfa54f7819c31b75aeefd8686

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.