commit | 29f35516823ce99c878730b0cff75b0760935535 | [log] [tgz] |
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author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Wed Jun 22 08:52:00 2022 -0700 |
committer | GitHub <noreply@github.com> | Wed Jun 22 08:52:00 2022 -0700 |
tree | 9ab83bdbc87a84bdfb6d0ac81d04e9e092ff4d8f | |
parent | a9ba5d8641599476c54bd4d4d27291b18ea8db9c [diff] |
Integrate llvm-project at 0fe13b5f84abe1716f5991da057c801dc548a9ab (#9570) * Reset third_party/llvm-project: 0fe13b5f84abe1716f5991da057c801dc548a9ab (2022-06-19 18:23:19 +0100): [X86] Add common CHECK prefix to nontemporal-3.ll tests - MHLO : 1083bc8dba70f14c927faac753b51423d9c3ba76 TF : 5d3d92f19d497f8541eacc0ea65e4a59b3321cca - Fix NVGPUDialect.h path. - Update Bufferization. - Disable exponential_fp16.mlir test on dylib-llvm-aot due to upstream bug (llvm/llvm-project#56156) - Fix Python bindings Co-authored-by: Matthias Springer <springerm@google.com> Co-authored-by: Nicolas Vasilache <nicolas.vasilache@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.