commit | f2f153d39472b3abb1b629517e3b2c0bb1812c77 | [log] [tgz] |
---|---|---|
author | Geoffrey Martin-Noble <gcmn@google.com> | Wed Oct 06 13:56:03 2021 -0700 |
committer | GitHub <noreply@github.com> | Wed Oct 06 13:56:03 2021 -0700 |
tree | b308a2bc54e21b7864cb9a319d5a6e543b2fe4a8 | |
parent | 096484ed5172ec2a06656ff069f3bb61bac46b66 [diff] |
Use "profiled application" instead of "Tracy client" in docs Tracy's client/server split is a bit confusing for people used to the UI being the client. We shouldn't try to switch the terminology from the way Tracy uses it or anything, but "profiled application" is clear and unambiguous, and whether it's the client or the server isn't super relevant here
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.