[DispatchCreation] Tighten scatter-skip predicate in CollapseDimensions (#24334) PR #24034 skipped collapse for any `linalg.generic` with a `tensor.extract` and a `linalg.index` in its body, in order to avoid an expensive delinearization on strided-scatter generics produced by `ConvertStridedInsertSliceToGeneric`. That predicate was too broad and caught the RoPE + FP8 dispatch in Llama-8B, whose fused body also has `tensor.extract` + `linalg.index` (rotate_half lookup) but is not a strided scatter; the collateral block prevents the `4×batch×seq` outer collapse and produces a 5-D dispatch (`4x2048x8x2x64`) that tiles ~3.5x slower on gfx942 than the pre-#24034 `8192x8x128` shape. Tighten the predicate to require all three signals of the strided-scatter shape: empty `ins` operands (source captured via `tensor.extract`), at least one `linalg.index`, and a `tensor.extract` whose result is consumed by an `arith.select` (the bounds check). Fixes: https://github.com/iree-org/iree/issues/24322 --------- Signed-off-by: yzhang93 <zhyuhang88@gmail.com> Co-authored-by: Claude <noreply@anthropic.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 |
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| 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 |
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| 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.