[CUDA][LLVMGPU] Fix sm_120 WGP params and add BF16 mma.sync coverage (#24648) ## Description Fixes a correctness issue in `getSM120WgpDetails()` carried over from the Ampere placeholder, consolidates BF16 test coverage into existing architecture-scoped files, and extends sm_120 tests with a mixed-precision case. - **BF16 mma.sync fix**: `NV_MMA_SYNC_F32_16x8x16_BF16` was missing from sm_120's `mmaOps` despite being supported from Ampere onwards. sm_121 already advertises this intrinsic. Without this fix, bf16 × bf16 → f32 matmuls silently fall back to SIMT tiling on sm_120. - **Test consolidation**: Per the reviewer's suggestion, tests no longer have their own per-architecture files. Instead they are folded into the existing architecture-scoped test files. ## Testcases 1. config_tile_and_fuse_sm80.mlir / config_tile_and_fuse_sm120.mlir: each gets a new BF16 section verifying that bf16 × bf16 → f32 selects `NV_MMA_SYNC_F32_16x8x16_BF16` at the config stage. 1. config_tile_and_fuse_sm120.mlir: adds a mixed-precision f32 × bf16 → f32 case to verify the SIMT fallback path when no MMA intrinsic matches the operand types. 1. pipeline_tile_and_fuse_mma_sync.mlir: adds a shared BF16 pipeline lowering section that covers both sm_80 and sm_120, verifying `nvgpu.mma.sync` is generated with the correct shape. 1. target_device_features.mlir: expands the SM120 metadata check to a full wgp attribute check (mma list, workgroup sizes, memory limits), matching the granularity of the existing SM89 check. 1. bf16_mma_sm80.mlir: deleted — coverage moved into the files above. --------- 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.