commit | 7875b8ebc7c0b58c23fd34e718f9006d27c5eafc | [log] [tgz] |
---|---|---|
author | Jakub Kuderski <kubak@google.com> | Wed Mar 01 19:04:27 2023 -0500 |
committer | GitHub <noreply@github.com> | Wed Mar 01 19:04:27 2023 -0500 |
tree | e56ba8d8945d3143f2185d56a3d4bd6607a2eee2 | |
parent | a2350a31be1836e1c03708f2a7013beb8e633770 [diff] |
Revert the latest integrate to fix issues with `--iree-codegen-llvmgpu-enable-transform-dialect-jit` (#12451) This reverts the latest integrate an a post-integrate workaround: * Revert "Integrate llvm-project at 523640f7a4c0 (#12419)" 908c427d0b724853894acd06fed2cb04835269b7 * Revert "Work around test failures in `mobilenetv3_fake_weights` (#12445)" 51bdf0a9c58b1374f605f7aec3495919f94b2890 Issue: https://github.com/openxla/iree/issues/12444
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.