commit | d6dc9b7631f339fc87aa6053c944194baf54fb2a | [log] [tgz] |
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author | Scott Todd <scotttodd@google.com> | Wed Jul 20 09:53:52 2022 -0700 |
committer | GitHub <noreply@github.com> | Wed Jul 20 09:53:52 2022 -0700 |
tree | 828529bc7cd1dd75811e8ff98fa2b29b65f146be | |
parent | ab71f1631e2671435546edddbd4735452e30a830 [diff] |
Remove unnecessary `--iree-input-type=mhlo` flag uses. (#9852) Progress on https://github.com/iree-org/iree/issues/9667 - nearly done! I'm now able to build and test `all` using `-DIREE_INPUT_DIALECTS_MHLO=OFF -DIREE_INPUT_DIALECTS_TORCH=OFF -DIREE_INPUT_DIALECTS_TOSA=OFF` from https://github.com/iree-org/iree/pull/9474. I haven't tried `iree-test-deps` yet, but it will take more work to get passing in that configuration (if we care). One drawback of this is that the `--iree-input-type=` flag might be harder to discover for users/developers who browse through the repository. We should improve error messages and ergonomics anyway (see https://github.com/iree-org/iree/discussions/9759 for a recent discussion about that).
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.