commit | bf93db745c350f44e5bdd0aa55413aa11371388d | [log] [tgz] |
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author | Scott Todd <scott.todd0@gmail.com> | Mon May 13 14:01:58 2024 -0700 |
committer | GitHub <noreply@github.com> | Mon May 13 14:01:58 2024 -0700 |
tree | 37633b4cc4500eec4e11487f0df38cc9251cccca | |
parent | 4f27e64a7b73dc492423744cd1ff8040bfd71461 [diff] |
Switch TensorFlow test requirement off of tf-nightly. (#17378) Fixes https://github.com/iree-org/iree/issues/17372 - the nightly releases from pypi have been changing sha256 hashes...? We can also try purging the pip cache (https://stackoverflow.com/a/68809728). Follow-up to the recent bump to latest nightly on https://github.com/iree-org/iree/pull/17306 (and using stable was also suggested [here on Discord](https://discord.com/channels/689900678990135345/1166024193599615006/1237791196948988008)) Separately we can update documentation (https://iree.dev/guides/ml-frameworks/tensorflow/#prerequisites) and samples (Colab notebooks) to use stable instead of nightly. ci-exactly: build_packages, test_tensorflow_cpu
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.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.