commit | b16530057e05fb51d23a9a96946b46eb6eb83414 | [log] [tgz] |
---|---|---|
author | Lei Zhang <antiagainst@google.com> | Mon Jul 11 21:10:46 2022 -0400 |
committer | GitHub <noreply@github.com> | Mon Jul 11 18:10:46 2022 -0700 |
tree | b11a5767c8ab2cd05660913ecacc1697a61863ff | |
parent | efd42a831a561bb68992bffec453b72d85aa62e0 [diff] |
Integrate llvm-project at 71c9757474c308d63f72a54659989553d598e145 (#9763) * Reset third_party/llvm-project: 71c9757474c308d63f72a54659989553d598e145 (2022-07-07 07:03:16 +0900): [Bazel] Fixup to llvmorg-15-init-15618-ge0b520865026, s/dxil/dx/ * Update MHLO and Tensorflow to track llvm/llvm-project@71c9757474c3 * tensorflow/mlir-hlo@1e2ff3902028462909c564e58a45e6cf64b3a60d * tensorflow/tensorflow@99b3f694cf013bf4d04256092cfc14d5151ea7d4 * Reapply cherry-picked MLIR commits * c8a8605527ae Restore Python install behavior from before D128230. * 8260dd749bca [mlir][Transform] Fix isDefiniteFailure helper * 806ba331fa19 Revert "[RISCV] Optimize 2x SELECT for floating-point types" * 19d14c29a2a5 [mlir][Transform] Make applyToOne return a DiagnosedSilenceableFailure * Fix ArrayAttr default value context reference details in `LoweringConfig.td` * mhlo: ConvOp -> ConvolutionOp, SinOp -> SineOp, CosOp -> CosineOp * mhlo: updated pattern after merging rng_uniform and rng_normal * mhlo: fixed various assembly forms in tests
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.