commit | f10dae25dd5f7149825130f59cf2ab3daa058a73 | [log] [tgz] |
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author | Nirvedh Meshram <96096277+nirvedhmeshram@users.noreply.github.com> | Thu Sep 05 10:13:04 2024 -0500 |
committer | GitHub <noreply@github.com> | Thu Sep 05 10:13:04 2024 -0500 |
tree | 9c6ce769707753de2347b2460c3b30e12d46ee21 | |
parent | 2f0ea0946ba1aba317b4f519db6083b006af6c5f [diff] |
[LLVMGPU][ROCm] Add I8 MFMA layout support for CDNA2 (#18433) These i8 intrinsics are supported by CDNA2 arch so adding them provides better functionality such as fixing https://github.com/iree-org/iree/issues/18406. It is worth noting that, this i8 support is emulated and the CDNA2 hardware does fp16 under the hood for these intrinsics. With this PR we can also support: "sharktank/punet/int8" from the external test suite and hence the xfail on those tests are removed. Fixes: https://github.com/iree-org/iree/issues/18406
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-compiler | |
Python iree-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.