commit | 3fd4df6c2d48711b180e89c143ee90a32718ba80 | [log] [tgz] |
---|---|---|
author | Stella Laurenzo <stellaraccident@gmail.com> | Fri Dec 31 16:35:52 2021 -0800 |
committer | GitHub <noreply@github.com> | Fri Dec 31 16:35:52 2021 -0800 |
tree | 0831fc8f05e4a1698c06bf5d6f331a36c7fe2aed | |
parent | e7599e395efd11db835fc75857bc235a817ecb0a [diff] |
Some fixes to python temp file saving and tracing. (#7989) * There was a bug with tfs and compiling to in memory output: it would return an empty byte array. * Added tfs for core-input.mlir when compiling from a string. * Added tfs for core-command-line.txt to capture the command line. * On exception the trace will finalize the record it is working on (the call was being completely ommitted, which is not what you want, considering this is often for failure repros).
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.