bazel - Error building TensorFlow with local LLVM repository - tensorflow

Question

Essentially, I want to run TensorFlow with a custom LLVM repository and not the llvm-mirror that bazel pulls from.
I made the following changes:
Changed the temp_workaround_http_archive rule in //tensorflow/workspace.bzl to:
native.local_repository (
name = "llvm",
path = "/git/llvm/",
)
In /git/llvm I added the file WORKSPACE containing:
workspace( name = "llvm" )
However, I know that an llvm.build file is required, but since I am new to bazel, I am not sure where it should be located.
I am getting the following error log:
bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package
ERROR: /git/tensorflow/tensorflow/tools/pip_package/BUILD:81:1: no such package '#llvm//': BUILD file not found on package path and referenced by '//tensorflow/tools/pip_package:licenses'.
ERROR: Analysis of target '//tensorflow/tools/pip_package:build_pip_package' failed; build aborted.
INFO: Elapsed time: 0.219s
I installed TensorFlow from source. Here is the version info:
$ git rev-parse HEAD
4c3bb1aeb7bb46bea35036433742a720f39ce348
$ bazel version
Build label: 0.4.5
Build target: bazel-out/local-fastbuild/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jar
Build time: Thu Mar 16 12:19:38 2017 (1489666778)
Build timestamp: 1489666778
Build timestamp as int: 1489666778
Thanks in advance for the help!

Answer 1

Found the fix. Quite simple actually.
The local_repository rule in bazel is for external bazel repositories only. To use a non-bazel external repository, we need to use new_local_repository which takes build_file as an argument.

Answer 2

You can use the http server function of python to build a local file server, like:
python3 -m http.server
Then edit the file "tensorflow/workspace.bzl"
tf_http_archive(
name = "llvm",
urls = [
"https://mirror.bazel.build/**/195a164675af86f390f9816e53291013d1b551d7.tar.gz",
"http://localhost:8000/195a164675af86f390f9816e53291013d1b551d7.tar.gz",
"https://github.com/**/195a164675af86f390f9816e53291013d1b551d7.tar.gz",
],
sha256 = "57a8333f8e6095d49f1e597ca18e591aba8a89d417f4b58bceffc5fe1ffcc02b",
strip_prefix = "llvm-195a164675af86f390f9816e53291013d1b551d7",
build_file = str(Label("//third_party/llvm:llvm.BUILD")),
)
Add one local file path in the middle line of urls, and then rebuild it again.