commit	0eced24eef88bfad81b0b95997775d47dda24601	[log] [tgz]
author	Scott Todd <scotttodd@google.com>	Mon May 02 14:49:22 2022 -0700
committer	GitHub <noreply@github.com>	Mon May 02 14:49:22 2022 -0700
tree	96cb0a6bbfafe6831edcf054866ed93689d761b8
parent	33100118a0facd337bdb6adbd4090cb1b8cd5032 [diff]

Set up llvm-symbolizer for some of our CI pipelines. (#9029)

Prior to this, we've been seeing unsymbolized crashes when building test files with this message: ``Stack dump without symbol names (ensure you have llvm-symbolizer in your PATH or set the environment var `LLVM_SYMBOLIZER_PATH` to point to it):``

---

To get `llvm-symbolizer`, we can either install an LLVM binary distribution (https://apt.llvm.org/) into our Docker images _or_ build it from source.
* Building from source ensures we have the latest code, but adds build time and test script complexity (that is spread across multiple files)
* Installing also puts other LLVM binaries (like `llvm-tblgen`) on the PATH, which could be unexpected when we typically build the binaries that we need from source

I tried both approaches and settled on installing into our Docker images.

---

Progress on https://github.com/google/iree/issues/8996

30 files changed

tree: 96cb0a6bbfafe6831edcf054866ed93689d761b8

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.