commit | 2b1a8e7679fe0c7a9fcd076eb1c16b9d76cfc24b | [log] [tgz] |
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author | Stanley Winata <68087699+raikonenfnu@users.noreply.github.com> | Mon Nov 04 19:09:06 2024 -0800 |
committer | GitHub <noreply@github.com> | Mon Nov 04 19:09:06 2024 -0800 |
tree | 92852a6f10b588cdb6c82a2e0597a08dbc953bf9 | |
parent | 1444755ad2e19707f0f5461cf9e499d8f3c093a9 [diff] |
[LLVMGPU] Make FP8 VMFMA intrinsic discoverable by KernelConfig (#19022) Making VMFMA_F32_16x16x32_F8E4M3FNUZ visible/accessible from `getVirtualIntrinsics` S.T we can eventually pick this intrinsic from KernelConfig. Right now since by default since we always choose the "first" found intrinsic, it is practically guaranteed to never pick the virtual intrinsics by heuristics. Hence we are only specifying the intrinsics through tuning/spec script. However since we are planning to add some heuristics in the future on KernelConfig to be able to select this virtual intrinsic when necessary, we are making it visible now. Signed-off-by: Stanley Winata <stanley.winata@amd.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-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.