tensorflow/mlir

"Multi-Level Intermediate Representation" Compiler Infrastructure

Source code at GitHub https://github.com/tensorflow/mlir

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  "description": "\"Multi-Level Intermediate Representation\" Compiler Infrastructure",
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  "name": "mlir",
  "pushedAt": "2021-04-22T22:24:29Z",
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  "topics": [],
  "updatedAt": "2025-11-08T14:42:36Z",
  "url": "https://github.com/tensorflow/mlir"
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301 - Moved

MLIR is now part of LLVM, more information on https://mlir.llvm.org

The code from this repository can now be found at https://github.com/llvm/llvm-project/tree/main/mlir/

Migration

If you have a local fork of this repository or pull-requests that need to be migrated to the LLVM monorepo, the following recipe may help you:

# From your local MLIR clone:
$ git clone git@github.com:newren/git-filter-repo.git /tmp/git-filter-repo
$ /tmp/git-filter-repo/git-filter-repo --path-rename :mlir/ --force  --message-callback 'return re.sub(b"(#[0-9]+)", b"tensorflow/mlir\\1", message)' --refs <branch name>

After this, all the commits from the previous upstream MLIR should match the ones in the monorepo now. If you don’t provide the --refs option, this will rewrite all the branches in your repo.

From there you should be able to rebase any of your branch/commits on top of the LLVM monorepo:

$ git remote set-url origin git@github.com:llvm/llvm-project.git
$ git fetch origin
$ git rebase origin/main -i

Cherry-picking commits should also work, if you checkout the main branch from the monorepo you can git cherry-pick <sha1> from your (rewritten) branches.

You can also export patches with git format-patch <range> and re-apply it on the monorepo using git am <patch file>.