commit | c279dbd92c20c06f95350cf8c889a7c028f9af0a | [log] [tgz] |
---|---|---|
author | Julian Walker <julianwa@google.com> | Thu May 18 16:58:25 2023 -0700 |
committer | GitHub <noreply@github.com> | Thu May 18 23:58:25 2023 +0000 |
tree | b7f627d60ec4c8c4718e65341897f10440b8d8f2 | |
parent | 582422113430bbc12995db9ef91109ff4ad656a9 [diff] |
Initial IREE Dispatch Profiler workflow (#13585) - Runs IREE Dispatch Profiler as a standalone Github Workflow, triggered on a regular schedule: https://github.com/openxla/iree/actions/workflows/run_iree_dispatch_profiler.yml - Resulting CSVs are uploaded to a publicly accessible bucket: https://storage.googleapis.com/dispatch-profiler-artifacts - The workflow invokes a new script: `dispatch_profiler/profile_all.sh`. This script can easily be expanded to include additional runs, and can be tested locally. - Future work can ingest the CSVs into our DB and display charts using Looker Studio, similar to how we're displaying e2e benchmark results. --------- Co-authored-by: Jerry Wu <cheyuw@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.