| commit | d76a104596d0d646fd2b2546f6cdfa811ceb6001 | [log] [tgz] |
|---|---|---|
| author | Stella Laurenzo <stellaraccident@gmail.com> | Wed Oct 04 17:26:30 2023 -0700 |
| committer | GitHub <noreply@github.com> | Thu Oct 05 00:26:30 2023 +0000 |
| tree | c1544416c764c0b2abad4bfb36b08a06f06d6aaf | |
| parent | 39b3b249a33b4f1ac1c5d8cfdfa482b29367d0d7 [diff] |
Restore PJRT to minimally functional after break with XLA. (#15105) When imported, we removed all code that relied on static/bazel linkage into XLA internals. This patch adds back the pure C path for device memory layout, which is the minimum needed to run simple programs. Next, we will need to add code generation for layout changes, and then it is just minor ergonomic work to get back to where it was. As-is, though, we can run things with this patch again and can start wiring it for CI, etc.
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.