WORKSPACE

workspace(name = "tf_serving")

# To update TensorFlow to a new revision.
# 1. Update the 'git_commit' args below to include the new git hash.
# 2. Get the sha256 hash of the archive with a command such as...
#    curl -L https://github.com/tensorflow/tensorflow/archive/<git hash>.tar.gz | sha256sum
#    and update the 'sha256' arg with the result.
# 3. Request the new archive to be mirrored on mirror.bazel.build for more
#    reliable downloads.
load("//tensorflow_serving:repo.bzl", "tensorflow_http_archive")

tensorflow_http_archive(
    name = "org_tensorflow",
    sha256 = "70daac490bde59120698023855290b73fc796dc0f2815796837e0902c13510a6",
    git_commit = "9c9e961174a02f20ec26d114fa02912d0f524598",
)

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

http_archive(
    name = "rules_pkg",
    sha256 = "5bdc04987af79bd27bc5b00fe30f59a858f77ffa0bd2d8143d5b31ad8b1bd71c",
    url = "https://github.com/bazelbuild/rules_pkg/releases/download/0.2.0/rules_pkg-0.2.0.tar.gz",
)

load("@rules_pkg//:deps.bzl", "rules_pkg_dependencies")

rules_pkg_dependencies()

load(
    "@org_tensorflow//third_party/toolchains/preconfig/generate:archives.bzl",
    "bazel_toolchains_archive",
)

bazel_toolchains_archive()

load(
    "@bazel_toolchains//repositories:repositories.bzl",
    bazel_toolchains_repositories = "repositories",
)

bazel_toolchains_repositories()

# START: Upstream TensorFlow dependencies
# TensorFlow build depends on these dependencies.
# Needs to be in-sync with TensorFlow sources.
http_archive(
    name = "io_bazel_rules_closure",
    sha256 = "5b00383d08dd71f28503736db0500b6fb4dda47489ff5fc6bed42557c07c6ba9",
    strip_prefix = "rules_closure-308b05b2419edb5c8ee0471b67a40403df940149",
    urls = [
        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz",
        "https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz",  # 2019-06-13
    ],
)
http_archive(
    name = "bazel_skylib",
    sha256 = "1dde365491125a3db70731e25658dfdd3bc5dbdfd11b840b3e987ecf043c7ca0",
    urls = [
        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz",
        "https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz",
    ],
)  # https://github.com/bazelbuild/bazel-skylib/releases

# END: Upstream TensorFlow dependencies

# Please add all new TensorFlow Serving dependencies in workspace.bzl.
load("//tensorflow_serving:workspace.bzl", "tf_serving_workspace")

tf_serving_workspace()

# Specify the minimum required bazel version.
load("@org_tensorflow//tensorflow:version_check.bzl", "check_bazel_version_at_least")

check_bazel_version_at_least("3.0.0")

# GPRC deps, required to match TF's.  Only after calling tf_serving_workspace()
load("@com_github_grpc_grpc//bazel:grpc_deps.bzl", "grpc_deps")

grpc_deps()

load("@upb//bazel:repository_defs.bzl", "bazel_version_repository")

bazel_version_repository(name = "bazel_version")