| commit | 77cc34bde915eee00027e5e28e8ecd52f53e56bc | [log] [tgz] |
|---|---|---|
| author | Scott Todd <scott.todd0@gmail.com> | Tue Mar 19 09:38:37 2024 -0700 |
| committer | GitHub <noreply@github.com> | Tue Mar 19 09:38:37 2024 -0700 |
| tree | 76e9f320766fb30f460f9c7174dfb95b40666d84 | |
| parent | 2eae9b3e3d515ba92048319d2a3616f947fc095d [diff] |
Bump numpy dep up to the 2.0 prerelease. (#16800) Fixes https://github.com/openxla/iree/issues/16762 and https://github.com/nod-ai/SHARK-Turbine/issues/530 This fixes compatibility issues between the `iree-runtime` Python package and numpy 2.0+ (currently in prerelease). If a user installs a newer numpy version and tries to import IREE, they get an error like this: > A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.0b1 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled against NumPy 2.0. The official docs (https://numpy.org/devdocs/dev/depending_on_numpy.html#numpy-2-0-specific-advice) have some notes about ways to support both numpy 1.xx _and >= 2.0, but some (limited) local testing, I _think_ our usage of numpy isn't complex enough to need anything extra though? --- Also note: the "base" Dockerfile in IREE (used by some build and test jobs) bundles these Python build requirements, and I'm not updating the images in this PR. Our package CI builds are more flexible - they install frequently changing deps on demand.
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.