[HAL] Add executable global lookup buffers (#24336) Introduces iree_hal_executable_lookup_global_by_name as the public HAL API for resolving executable-owned globals. The API returns a normal iree_hal_buffer_t so callers can use existing queue copies, mapping checks, and command-buffer bindings instead of reaching around HAL with raw device pointers. AMDGPU resolves HSA variable symbols for the selected queue-affinity device and wraps the variable address as non-owning executable-backed storage. HIP and CUDA use their module global lookup APIs and wrap external device pointers with the same lifetime rule. Returned buffers retain the executable until the buffer is released. All executable vtables now implement the hook explicitly. Backends without global support fail with UNIMPLEMENTED, and replay recording fails loudly rather than returning an unrecorded buffer object. (cherry pick from #24049 with CUDA + AMDGPU support as well as HIP) Co-authored-by: Andrew Woloszyn <andrew.woloszyn@gmail.com>
IREE (Intermediate Representation Execution Eenvironment, 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) | |
iree-base-compiler | |
iree-base-runtime |
For more details on the release process, see https://iree.dev/developers/general/release-management/.
| Operating system | Build status |
|---|---|
| Linux | |
| macOS | |
| macOS |
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 |
|---|---|---|---|
| 2025-06-10 | Data-Tiling in IREE: Achieving High Performance Through Compiler Design (AsiaLLVM) | recording | slides |
| 2025-05-17 | Introduction to GPU architecture and IREE's GPU CodeGen Pipeline | recording | slides |
| 2025-02-12 | The Long Tail of AI: SPIR-V in IREE and MLIR (Vulkanised) | recording | slides |
| 2024-10-01 | Unveiling the Inner Workings of IREE: An MLIR-Based Compiler for Diverse Hardware | recording | |
| 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.