| commit | c1e116b91ecc089bbc5eacc638cec90d9d14f7ad | [log] [tgz] |
|---|---|---|
| author | Scott Todd <scotttodd@google.com> | Wed Aug 30 13:02:15 2023 -0700 |
| committer | GitHub <noreply@github.com> | Wed Aug 30 13:02:15 2023 -0700 |
| tree | ac343023a5dc990bd5b2f989d61428ff4fd21f0f | |
| parent | 627e7b59fc318e6dda80612dc4d1595b548d2d22 [diff] |
Patch over some TensorFlow Python API changes. (#14709) Working towards getting our sample Colab notebooks working again (https://github.com/openxla/iree/actions/workflows/samples.yml). I could try to update the Colab notebooks in-place, but it might just be easier to take an incremental approach - land these fixes that help with local builds, wait for a nightly release, debug the notebooks with that release build. We're also short on presubmit / unit test coverage for the Python tools. Resolves this discussion: https://github.com/openxla/iree/pull/14303#discussion_r1260364221 Fixes https://github.com/openxla/iree/issues/14695
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.