| commit | 947b10282837ad51dd15dad4bbd178ad25aaad5a | [log] [tgz] |
|---|---|---|
| author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Mon Nov 01 18:47:15 2021 -0700 |
| committer | GitHub <noreply@github.com> | Mon Nov 01 18:47:15 2021 -0700 |
| tree | 5dbab470f09771b38f7c08bd36dfb1f64557fa9e | |
| parent | da3f7e3fef2f10ebff4412d2cbf1b9567a5b5bcf [diff] |
Used LLVM IR for `powf` generated from MUSL for only 64-bit archs. (#7513) Using the LLVM IR generated from powf function of MUSL for 32-bit archs seems to result in undef. While the issue is resolved, pull in the powf function only while compiling for 64-bit architectures. This involves generating a new librt64.bc LLVM IR module that is linked into the generated executables when compiled for 64-bit architectures.
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.