commit | a930860b5fa79b79144112f818e37775d32888da | [log] [tgz] |
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author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Fri Sep 16 18:30:31 2022 -0700 |
committer | GitHub <noreply@github.com> | Sat Sep 17 01:30:31 2022 +0000 |
tree | ec802c0682c2bc958f48023bce92127b58b018e3 | |
parent | 8d1e6abc3a7e0e9734cd28128905b64af582ec55 [diff] |
Integrate llvm-project at https://github.com/llvm/llvm-project/commit/42a90e6017b0 (#10453) * Reset third_party/llvm-project: 42a90e6017b04f218a398b46c331fb5a8336433d (2022-09-16 09:32:02 -0700): [ModuleInliner] Remove a redundaunt variable (NFC) MHLO : https://github.com/tensorflow/mlir-hlo/commit/f1a12aa82afd8444285e673574d5882c89ddef63 TF: https://github.com/tensorflow/tensorflow/commit/d5eb41b9711e2a7017ff16ce835d31e482884fed Includes a cherrypick to TF which needs to land upstream, as documented in their issue: https://github.com/tensorflow/tensorflow/issues/57733 Co-authored-by: Stella Laurenzo <laurenzo@google.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.