| commit | 61a226348ed72ec96b7b304ffe925b3ea5f9674a | [log] [tgz] |
|---|---|---|
| author | Scott Todd <scott.todd0@gmail.com> | Thu May 02 10:53:35 2024 -0700 |
| committer | GitHub <noreply@github.com> | Thu May 02 17:53:35 2024 +0000 |
| tree | bf748e51e218724ec9defbf09923bfdd971c8504 | |
| parent | de9509210fe530ac191571c024e989932f22d3b0 [diff] |
Use unauthenticated wget to download install archive in test jobs. (#17274) As we add more test jobs (specifically for AMDGPU on self-hosted mi250 and w7900 runners), relying on the `gcloud` CLI to interface with workflow artifacts will require extra setup (install and auth). As these files are public and the jobs only need to read and not write, plain `wget` should be enough. Progress on https://github.com/iree-org/iree/issues/17159 and https://github.com/iree-org/iree/issues/16203 ci-exactly: build_all, test_nvidia_gpu
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.