chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
36502 changed files with 9277225 additions and 0 deletions
@@ -0,0 +1,35 @@
+# MLIR dialects and utilities for TensorFlow, TensorFlow Lite and XLA.
+
+This module contains the MLIR
+([Multi-Level Intermediate Representation](https://mlir.llvm.org))
+dialects and utilities for
+
+1. TensorFlow
+2. XLA
+3. TF Lite
+
+See [MLIR's website](https://mlir.llvm.org) for complete documentation.
+
+## Getting started
+
+Building dialects and utilities here follow the standard approach using
+`bazel` as the rest of TensorFlow.
+
+### Using local LLVM repo
+
+To develop across MLIR core and TensorFlow, it is useful to override the repo to
+use a local version instead of fetching from head. This can be achieved by
+setting up your local repository for Bazel build. For this you will need to
+create bazel workspace and build files:
+
+```sh
+LLVM_SRC=... # this the path to the LLVM local source directory you intend to use.
+touch ${LLVM_SRC}/BUILD.bazel ${LLVM_SRC}/WORKSPACE
+```
+
+You can then use this overlay to build TensorFlow:
+
+```
+bazel build --override_repository="llvm-raw=${LLVM_SRC}" \
+  -c opt tensorflow/compiler/mlir:tf-opt
+```