commit	2568e68485734ba8a56b92d2d0d3dc072af97216	[log] [tgz]
author	Scott Todd <scotttodd@google.com>	Tue Aug 03 09:33:04 2021 -0700
committer	GitHub <noreply@github.com>	Tue Aug 03 09:33:04 2021 -0700
tree	f0e4642472dd553c841cc4f40d514946c340f689
parent	89b2201f717e16204f550e72cdd54a8901e77fdc [diff]

Move tensor->flow passes to Dialect/Flow/Conversion/TensorToFlow. (#6586)

General cleanup and the `tensor`->`flow` conversions will be useful outside of `iree/compiler/InputConversion/Common/`, particularly for detensoring (https://github.com/google/iree/issues/1159).

* Moved all patterns in `iree/compiler/InputConversion/Common/ConvertUpstreamToIREE.cpp` into `iree/compiler/Dialect/Flow/Conversion/TensorToFlow/ConvertTensorToFlow.cpp` and folded that pass into `IREE::Flow::createConvertToFlowTensorOpsPass`
* Moved `tensor`->`flow` patterns and their tests from `iree/compiler/Dialect/Flow/Transforms/` into the new `Flow/Conversion/TensorToFlow` directory. Changed them from `OpRewritePattern`s to `OpConversionPattern`s. `linalg`->`flow` passes remain in their original location
* Updated pattern names, test case names, comments, etc. following the renaming in https://github.com/llvm/llvm-project/commit/060208b4c8b78b2456b8440d9597c9f584676bf4 / https://github.com/google/iree/commit/7f89eb64ee471895fe45493061c61b9cdca79194

25 files changed

tree: f0e4642472dd553c841cc4f40d514946c340f689

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 (Mako)
BuildKite	CMake	Android	arm64-v8a	Runtime Benchmarks
BuildKite	CMake	Linux	x86-64	Tracing + Standalone Runtime

Presentations and Talks

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.