Improve Tracy docs (#12172) * Added overview table, and restructured sections, highlighting the common simple case where only Instrumentation is needed, vs the harder case where Sampling is also needed. * Existing instructions were centered around getting all the hard system/sampling/systrace features working. Now they are more "you pay for what you need". * Existing instructions were centered around tracy'ing IREE's own test and benchmark suites, as opposed to manually invoking `iree-compile`. --------- Co-authored-by: Scott Todd <scotttodd@google.com>
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.