WORKSPACE

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("//build_deps/tf_dependency:tf_configure.bzl", "tf_configure")
load("//build_deps/toolchains/gpu:cuda_configure.bzl", "cuda_configure")

tf_configure(
    name = "local_config_tf",
)

http_archive(
    name = "org_tensorflow",
    strip_prefix = "tensorflow-2.9.1",
    urls = [
        "https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.9.1.tar.gz",
    ],
)

load("@org_tensorflow//tensorflow:workspace3.bzl", "tf_workspace3")

tf_workspace3()

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()

# 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("@//deepray:workspace3.bzl", "dp_workspace3")

dp_workspace3()

load("@//deepray:workspace2.bzl", "dp_workspace2")

dp_workspace2()

# load("@//deepray:workspace1.bzl", "dp_workspace1")

# dp_workspace1()

load("@//deepray:workspace0.bzl", "dp_workspace0")

dp_workspace0()

cuda_configure(name = "local_config_cuda")