commit | eeedee471bc1b1f066d27db697d95c910db1e70d | [log] [tgz] |
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author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Sun Feb 20 16:26:49 2022 -0800 |
committer | GitHub <noreply@github.com> | Sun Feb 20 16:26:49 2022 -0800 |
tree | 86e384265fc83358f6a2939fc181a99fee8ad316 | |
parent | 5947c0837f8bba664babd4b4383a955a7249be64 [diff] |
Integrate llvm-project at 0389f2edf7c252e49323ae0ca6adfea9f2614f6d (#8371) * Integrate llvm-project at 0389f2edf7c252e49323ae0ca6adfea9f2614f6d * Reset third_party/llvm-project: 0389f2edf7c252e49323ae0ca6adfea9f2614f6d (2022-02-17 02:17:27 -0800): Revert "[compiler-rt] Implement ARM atomic operations for architectures without SMP support" * Advance sub-projects: tensorflow: 557d0e3d21bf1b0b2b1c6045e266b2a7a6d6f2ab mlir-hlo: bc33872cc655c88d30718fe0dffe5daa45139e54 Piper CL: 429516974 * Fix build breakages due to - Vector dialect flipped to prefixed form (75044e9b4f20d025295dbd56284435937cfb4de5) - change in `getResult` signature due to b077ee9240f8b603d1dc8b43628fee0d4b94e963 * Disable emitc static_library sample pending resolution of https://github.com/google/iree/issues/8380 Co-authored-by: Stella Laurenzo <stellaraccident@gmail.com>
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.
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!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.