commit | 04ec31adc8e6b10b6566d74532721dacd21d1137 | [log] [tgz] |
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author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Wed Nov 17 21:28:44 2021 -0800 |
committer | GitHub <noreply@github.com> | Wed Nov 17 21:28:44 2021 -0800 |
tree | 918621172e58ea54d1d2b81ad3ee78ccf1a5bc11 | |
parent | 727d793f354ae4b68a0a7ef6920ee0993fe050db [diff] |
Add the fp16 <-> fp32 conversion methods to librt (along with expf for 64 bit) (#7692) The 16 bit ops when lowered through the LLVM path use __gnu_h2f_ieee and __gnh_f2h_ieee methods. Import an implementation of these. Also add a expf to librt on 64-bit architectures. The added test does not run on VMVX or SPIR-V. So enable only on CUDA and CPU backends Fixes #7611.
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.