tensorflow/WORKSPACE

# buildifier: disable=load-on-top

workspace(name = "org_tensorflow")

# buildifier: disable=load-on-top

# We must initialize hermetic python first.
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")

http_archive(
    name = "rules_java",
    sha256 = "c73336802d0b4882e40770666ad055212df4ea62cfa6edf9cb0f9d29828a0934",
    url = "https://github.com/bazelbuild/rules_java/releases/download/5.3.5/rules_java-5.3.5.tar.gz",
)

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

tf_workspace3()

# Initialize hermetic Python
load("@local_xla//third_party/py:python_init_rules.bzl", "python_init_rules")

python_init_rules()

load("@local_xla//third_party/py:python_init_repositories.bzl", "python_init_repositories")

python_init_repositories(
    default_python_version = "system",
    requirements = {
        "3.9": "//:requirements_lock_3_9.txt",
        "3.10": "//:requirements_lock_3_10.txt",
        "3.11": "//:requirements_lock_3_11.txt",
        "3.12": "//:requirements_lock_3_12.txt",
    },
)

load("@local_xla//third_party/py:python_init_toolchains.bzl", "python_init_toolchains")

python_init_toolchains()

load("@local_xla//third_party/py:python_init_pip.bzl", "python_init_pip")

python_init_pip()

load("@pypi//:requirements.bzl", "install_deps")

install_deps()
# End hermetic Python initialization

load("@//tensorflow:workspace2.bzl", "tf_workspace2")

tf_workspace2()

load("@//tensorflow:workspace1.bzl", "tf_workspace1")

tf_workspace1()

load("@//tensorflow:workspace0.bzl", "tf_workspace0")

tf_workspace0()