commit | 5b67943517b8f39e633f95696bfee175a225696c | [log] [tgz] |
---|---|---|
author | Ben Vanik <ben.vanik@gmail.com> | Wed Dec 18 09:06:33 2024 -0800 |
committer | GitHub <noreply@github.com> | Wed Dec 18 09:06:33 2024 -0800 |
tree | 5e9f527f89057a16d2ee650c5dd6172f95a624c6 | |
parent | 345b1dab4a32a058caab6dced991b91039040a16 [diff] |
Moving synchronous HAL file APIs to the public API. (#19512) Implementations backed by device APIs like cuFile/DirectStorage/etc will return false for iree_hal_file_supports_synchronous_io and the respective HAL implementations will handle I/O themselves.
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.
Releases notes are published on GitHub releases.
Package | Release status |
---|---|
GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Host platform | Build status |
---|---|
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
Date | Title | Recording | Slides |
---|---|---|---|
2021-06-09 | IREE Runtime Design Tech Talk | recording | slides |
2020-08-20 | IREE CodeGen (MLIR Open Design Meeting) | recording | slides |
2020-03-18 | Interactive HAL IR Walkthrough | recording | |
2020-01-31 | End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting) | recording | slides |
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.