nvidia_wheel_versions_repository(
    name = "nvidia_wheel_versions",
    versions_source = "//ci/official/requirements_updater:nvidia-requirements.txt",
)

python_wheel_version_suffix_repository(name = "tf_wheel_version_suffix")

load(
    "@rules_ml_toolchain//gpu/cuda:cuda_json_init_repository.bzl",
    "cuda_json_init_repository",
)

cuda_json_init_repository()

load(

)

python_wheel_version_suffix_repository = use_repo_rule(
    "@xla//third_party/py:python_wheel.bzl",
    "python_wheel_version_suffix_repository",
)

python_wheel_version_suffix_repository(name = "tf_wheel_version_suffix")

def_file_filter_configure = use_repo_rule("@xla//tools/def_file_filter:def_file_filter_configure.bzl", "def_file_filter_configure")

# third_party/tensorflow/core/public/release_version.h and
# third_party/tensorflow/tools/pip_package/setup.oss.py.tpl
common --repo_env=ML_WHEEL_TYPE="snapshot"
common --repo_env=ML_WHEEL_BUILD_DATE=""
common --repo_env=ML_WHEEL_VERSION_SUFFIX=""

common --incompatible_default_to_explicit_init_py

# For projects which use TensorFlow as part of a Bazel build process, putting
# nothing in a bazelrc will default to a monolithic build. The following line