WORKSPACE

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

http_archive(
    name = "io_bazel_rules_closure",
    sha256 = "43c9b882fa921923bcba764453f4058d102bece35a37c9f6383c713004aacff1",
    strip_prefix = "rules_closure-9889e2348259a5aad7e805547c1a0cf311cfcd91",
    urls = [
        "https://mirror.bazel.build/github.com/bazelbuild/rules_closure/archive/9889e2348259a5aad7e805547c1a0cf311cfcd91.tar.gz",
        "https://github.com/bazelbuild/rules_closure/archive/9889e2348259a5aad7e805547c1a0cf311cfcd91.tar.gz",  # 2018-12-21
    ],
)

# 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 = "8d3c20b3c0b447d45668ead18077b96aedddd42308d3e73f245e2830f371a739",
    strip_prefix = "tensorflow-27ec48b174597b8d430edaa8164a60048f254dcf",
    urls = [
        "https://github.com/tensorflow/tensorflow/archive/27ec48b174597b8d430edaa8164a60048f254dcf.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",
)