commit | 6052a1d14ca2c6c28c3679cff27430ce2b51c96f | [log] [tgz] |
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author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Fri Jan 17 13:45:03 2025 -0800 |
committer | GitHub <noreply@github.com> | Fri Jan 17 13:45:03 2025 -0800 |
tree | 46f33bfca78d2ef9441b64f512ad3caa058c6e45 | |
parent | b4c7de6ab9799bf3e8cb4a67d73d0a49e0c99a1d [diff] |
Bump to llvm/llvm-project@3f1486f (#19683) ## New changes - We're starting to pick up TOSA dialect v1.0 changes https://github.com/llvm/llvm-project/commit/360a03c980e3e96ac53746b118a04305a28a5310 and https://github.com/llvm/llvm-project/commit/c1d01b2fc2932ca3ae6fb81a978f260298dbf343 . These are breaking changes so existing TOSA `.mlir[bc]` files may not work with new compiler versions. These changes will also be propagating to framework exporters/importers like TensorFlow over time, so more breaks are expected. The `iree-import-tflite` tool now reports a warning if a known-incompatible version of tensorflow is installed. ## Reverts RISC-V backend - https://github.com/llvm/llvm-project/commit/169c32eb49fa9b559d388b9b8f4374ff9e1be9be Python related changes - https://github.com/llvm/llvm-project/commit/5cd427477218d8bdb659c6c53a7758f741c3990a - https://github.com/llvm/llvm-project/commit/08e2c15a287df132ca2186f2d56669219a7ed8a1 - https://github.com/llvm/llvm-project/commit/b56d1ec6cb8b5cb3ff46cba39a1049ecf3831afb - https://github.com/llvm/llvm-project/commit/a0f5bbcfb71a28cd3eaa308250af63a0889a1c85 NVPTX changes - https://github.com/llvm/llvm-project/commit/29b5c18e466cea867e9e785e650d9ec2e5c295b9 - https://github.com/llvm/llvm-project/commit/e7a83fc74db78445c36a27f113e9b045f90f699a ## Updates to Torch-MLIR - Fix Conv2D create methods https://github.com/iree-org/torch-mlir/tree/integrate/20250112 (to be upstream to Torch-MLIR) --------- Signed-off-by: MaheshRavishankar <mahesh.ravishankar@gmail.com> Signed-off-by: Krzysztof Drewniak <Krzysztof.Drewniak@amd.com> Signed-off-by: Scott Todd <scott.todd0@gmail.com> Co-authored-by: Scott Todd <scott.todd0@gmail.com> Co-authored-by: Krzysztof Drewniak <Krzysztof.Drewniak@amd.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 |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Operating system | Build status |
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Linux | |
macOS | |
macOS | |
Windows |
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 |
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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.