commit | 1a28f8d8e7feae59756aaf651efcb3e57bcb8a51 | [log] [tgz] |
---|---|---|
author | Benoit Jacob <jacob.benoit.1@gmail.com> | Wed Nov 13 16:03:13 2024 -0500 |
committer | GitHub <noreply@github.com> | Wed Nov 13 21:03:13 2024 +0000 |
tree | 7789f24db23c881f1ba1f7acf36c19046f44fd1b | |
parent | 68c35d71bb0d74b399d84417bc047757e5dd7e38 [diff] |
Fixes for switch statements on enums (#19140) * Adds a missing `return`, to fix the GCC error flagged here: https://github.com/iree-org/iree/pull/19099/files/ab2aa4c5e9487c5f51effdc0d123c2f369dc9c41#r1840709707 * Adds some assertions on these error-case returns which are reachable but would only be reached if there is a bug in our program (as opposed to being triggerable by user input). * Drops some comments erroneously suggesting that it's GCC being difficult. Here, GCC is right and Clang is having a false-negative bug: https://github.com/llvm/llvm-project/issues/115345 * Drops a redundant `return` after a `default: return`. Signed-off-by: Benoit Jacob <jacob.benoit.1@gmail.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
Package | Release status |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Host platform | Build status |
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Linux | |
macOS | |
Windows |
For the full list of workflows see https://iree.dev/developers/general/github-actions/.
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.