commit | 700572cc1a31544568286262826a55eb3b9b9ccf | [log] [tgz] |
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author | Ben Vanik <ben.vanik@gmail.com> | Wed Dec 18 10:27:58 2024 -0800 |
committer | GitHub <noreply@github.com> | Wed Dec 18 18:27:58 2024 +0000 |
tree | 1fd19e6f6d73b74e7c902338d8bef2af11104ef5 | |
parent | 101f55c686de01fbbbc63cd2f10019031e9f37a0 [diff] |
Adding experimental iree_io_file_map_view API. (#19515) This allows for any iree_io_file_handle_t to be mapped into host memory on platforms where doing so is supported. Eventually this will be replaced with a proper mapping object and view API that will allow us to unify the ELF loading, file_io utils, and parameter handling APIs.
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 |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Host platform | Build status |
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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 |
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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.