LiteRT/WORKSPACE at main · pkgoogle/LiteRT · GitHub

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# buildifier: disable=load-on-top

workspace(name = "litert")

# buildifier: disable=load-on-top

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",
)

local_repository(
    name = "org_tensorflow",
    path = "third_party/tensorflow",
)

# 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("@org_tensorflow//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",
    local_wheel_dist_folder = "dist",
    local_wheel_inclusion_list = [
        "tensorflow*",
        "tf_nightly*",
    ],
    local_wheel_workspaces = ["@org_tensorflow//:WORKSPACE"],
    requirements = {
        "3.9": "@org_tensorflow//:requirements_lock_3_9.txt",
        "3.10": "@org_tensorflow//:requirements_lock_3_10.txt",
        "3.11": "@org_tensorflow//:requirements_lock_3_11.txt",
        "3.12": "@org_tensorflow//: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("@org_tensorflow//tensorflow:workspace2.bzl", "tf_workspace2")

tf_workspace2()

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

tf_workspace1()

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

tf_workspace0()

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

python_wheel_version_suffix_repository(name = "tf_wheel_version_suffix")

load(
    "@local_xla//third_party/gpus/cuda/hermetic:cuda_json_init_repository.bzl",
    "cuda_json_init_repository",
)

cuda_json_init_repository()

load(
    "@cuda_redist_json//:distributions.bzl",
    "CUDA_REDISTRIBUTIONS",
    "CUDNN_REDISTRIBUTIONS",
)
load(
    "@local_xla//third_party/gpus/cuda/hermetic:cuda_redist_init_repositories.bzl",
    "cuda_redist_init_repositories",
    "cudnn_redist_init_repository",
)

cuda_redist_init_repositories(
    cuda_redistributions = CUDA_REDISTRIBUTIONS,
)

cudnn_redist_init_repository(
    cudnn_redistributions = CUDNN_REDISTRIBUTIONS,
)

load(
    "@local_xla//third_party/gpus/cuda/hermetic:cuda_configure.bzl",
    "cuda_configure",
)

cuda_configure(name = "local_config_cuda")

load(
    "@local_xla//third_party/nccl/hermetic:nccl_redist_init_repository.bzl",
    "nccl_redist_init_repository",
)

nccl_redist_init_repository()

load(
    "@local_xla//third_party/nccl/hermetic:nccl_configure.bzl",
    "nccl_configure",
)

nccl_configure(name = "local_config_nccl")

load("//third_party/tqdm:workspace.bzl", tqdm = "repo")

tqdm()