| commit | 05c9b0d230252a75ebc9322a6fbb43d0d7e8a69b | [log] [tgz] |
|---|---|---|
| author | Trevor Morris <tmorris@nvidia.com> | Tue Jun 20 08:46:26 2023 -0700 |
| committer | GitHub <noreply@github.com> | Tue Jun 20 08:46:26 2023 -0700 |
| tree | c635cf33be4607207b5115b65ada850107b129fd | |
| parent | 89a41d9fb6b9ec25fafbffcd50c5fb0ed1182369 [diff] |
Use cuGetProcAddress to load CUDA entry points (#14056) Sometimes the v2 APIs can have different function signatures which will lead to errors if it doesn't match what we use in the IREE code. V2 lookup was originally added here https://github.com/openxla/iree/commit/9f42d0448af7f80700cd613d69f8f4cc67583e1b NVIDIA recommends using `cuGetProcAddress` to avoid version mixing which can otherwise cause undefined behavior: https://docs.nvidia.com/cuda/cuda-driver-api/version-mixing-rules.html#version-mixing-rules
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.