WORKSPACE

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")

http_archive(
    name = "io_bazel_rules_closure",
    sha256 = "e0a111000aeed2051f29fcc7a3f83be3ad8c6c93c186e64beb1ad313f0c7f9f9",
    strip_prefix = "rules_closure-cf1e44edb908e9616030cc83d085989b8e6cd6df",
    urls = [
        "http://mirror.tensorflow.org/github.com/bazelbuild/rules_closure/archive/cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz",
        "https://github.com/bazelbuild/rules_closure/archive/cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz",  # 2019-04-04
    ],
)

http_archive(
    name = "bazel_skylib",
    sha256 = "2ef429f5d7ce7111263289644d233707dba35e39696377ebab8b0bc701f7818e",
    urls = ["https://github.com/bazelbuild/bazel-skylib/releases/download/0.8.0/bazel-skylib.0.8.0.tar.gz"],
)  # https://github.com/bazelbuild/bazel-skylib/releases

# To update TensorFlow to a new revision,
# a) update URL and strip_prefix to the new git commit hash
# b) get the sha256 hash of the commit by running:
#    curl -L https://github.com/tensorflow/tensorflow/archive/<git hash>.tar.gz | sha256sum
#    and update the sha256 with the result.
http_archive(
    name = "org_tensorflow",
    sha256 = "5fc6a6b1cb5bc779756f62a04179d34de9b3eb1f25f6bcc2796ae40851046c44",
    strip_prefix = "tensorflow-e52aee8f65153c03f0f019e8b0807dbd83c55bb7",
    urls = [
        "https://github.com/tensorflow/tensorflow/archive/e52aee8f65153c03f0f019e8b0807dbd83c55bb7.tar.gz",
    ],
)

# For development, one can use a local TF repository instead.
# local_repository(
#    name = "org_tensorflow",
#    path = "tensorflow",
# )

load("@org_tensorflow//tensorflow:workspace.bzl", "tf_workspace")

tf_workspace(
    path_prefix = "",
    tf_repo_name = "org_tensorflow",
)