[LLVMGPU] Add sm_120 TileAndFuse config coverage, consolidate MMA sync pipeline tests (#24577) ## Description Adds LLVMGPU TileAndFuse config-selection coverage for the CUDA `sm_120` target and consolidates MMA sync pipeline-lowering coverage across NVIDIA GPU architectures. The `sm_120` config-selection test verifies that f16 matmul cases select the NVIDIA MMA TileAndFuse path before any architecture-specific tuning is introduced. The pipeline-lowering tests are kept target-independent because they start from IR with an attached `mma_sync` intrinsic and only verify that the selected lowering pipeline generates the corresponding `nvgpu.mma.sync` ops. Covered `sm_120` config-selection cases: - `f16xf16 -> f32` matmul selects TileAndFuse with `NV_MMA_SYNC` - `f16xf16 -> f16` matmul selects TileAndFuse with `NV_MMA_SYNC` - `f16xf16 -> f32` matmul accumulate sets `convert_acc_gemm` Covered target-independent pipeline-lowering cases: - `f16xf16 -> f32` TileAndFuse lowering generates `nvgpu.mma.sync` - `f16xf16 -> f16` TileAndFuse lowering generates `nvgpu.mma.sync` - `f16xf16 -> f32` VectorDistribute lowering generates `nvgpu.mma.sync` - `f16xf16 -> f16` VectorDistribute lowering generates `nvgpu.mma.sync` This is baseline regression coverage only; it does not introduce new tile heuristics or `sm_120`-specific tuning. ## Test - `llvm-lit -v \ compiler/src/iree/compiler/Codegen/LLVMGPU/test/NVVM/config_tile_and_fuse_sm120.mlir \ compiler/src/iree/compiler/Codegen/LLVMGPU/test/NVVM/config_tile_and_fuse_sm80.mlir \ compiler/src/iree/compiler/Codegen/LLVMGPU/test/NVVM/pipeline_tile_and_fuse_mma_sync.mlir \ compiler/src/iree/compiler/Codegen/LLVMGPU/test/NVVM/pipeline_vector_distribute_mma_sync.mlir` ``` -- Testing: 4 tests, 4 workers -- PASS: IREE :: src/iree/compiler/Codegen/LLVMGPU/test/NVVM/config_tile_and_fuse_sm120.mlir (1 of 4) PASS: IREE :: src/iree/compiler/Codegen/LLVMGPU/test/NVVM/config_tile_and_fuse_sm80.mlir (2 of 4) PASS: IREE :: src/iree/compiler/Codegen/LLVMGPU/test/NVVM/pipeline_vector_distribute_mma_sync.mlir (3 of 4) PASS: IREE :: src/iree/compiler/Codegen/LLVMGPU/test/NVVM/pipeline_tile_and_fuse_mma_sync.mlir (4 of 4) Testing Time: 0.14s Total Discovered Tests: 4 Passed: 4 (100.00%) ``` --------- Signed-off-by: weimin023 <tnwilly@gmail.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 | |
| 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.