[Codegen] Use overflow-checked math in the CPU and GPU alloc size checks (#24745) `checkStackAllocationSize` accumulates the allocation size in a plain int64_t. Allocas sized by the upper bound of an unbounded dynamic dimension (the util.assume.int default, 2^53-1) overflow it, the wrapped value passes the limit check and the alloca reaches ConvertToLLVM, where its element count folds to llvm.mlir.poison and the program loads and stores through a garbage pointer at runtime. The reproduction was reduced from the quantized ResNet downsample construct: an ONNX model with a dynamic batch doing DequantizeLinear -> 1x1 stride-2 Conv compiles without diagnostics and returns completely wrong results. Move `getStaticShapeSizeInBits` to Codegen/Utils (taken from https://github.com/iree-org/iree/pull/24684) and use it from both LLVMCPUCheckIRBeforeLLVMConversion and GPUCheckResourceUsage. Callers supply the leaf element bit width, which lets the GPU check keep its index-bitwidth handling and the recursion into shaped element types. On the CPU side the remaining scalar steps are overflow-checked in place with `llvm::MulOverflow` / `llvm::AddOverflow`. The pre-existing `checkedAdd`/`checkedMul`/`checkedAlignTo` wrappers in LLVMCPUAssignWorkgroupLocalMemory.cpp are replaced with `llvm::MulOverflow` / `llvm::AddOverflow`. --------- Signed-off-by: Zmicier Prybysh <zprybysh@baylibre.com>
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) | |
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 |
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.