WORKSPACE

workspace(name = "tensorflow_gnn")

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

# Define the TensorFlow archive.
load("@tensorflow_gnn//package:tfdep.bzl", "tf_setup")
tf_setup()

http_archive(
    name = "rules_proto",
    sha256 = "dc3fb206a2cb3441b485eb1e423165b231235a1ea9b031b4433cf7bc1fa460dd",
    strip_prefix = "rules_proto-5.3.0-21.7",
    urls = [
        "https://github.com/bazelbuild/rules_proto/archive/refs/tags/5.3.0-21.7.tar.gz",
    ],
)

http_archive(
    name = "rules_python",
    sha256 = "9d04041ac92a0985e344235f5d946f71ac543f1b1565f2cdbc9a2aaee8adf55b",
    strip_prefix = "rules_python-0.26.0",
    url = "https://github.com/bazelbuild/rules_python/releases/download/0.26.0/rules_python-0.26.0.tar.gz",
)

# Initialize the TensorFlow repository and all dependencies.
# See @org_tensorflow//WORKSPACE for details.
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()

load("@rules_python//python:repositories.bzl", "py_repositories")
py_repositories()

# This seems required to avoid a proxy setup.
# TODO(blais): Find a way to get rid of this.
http_archive(
    name = "io_bazel_rules_docker",
    sha256 = "1698624e878b0607052ae6131aa216d45ebb63871ec497f26c67455b34119c80",
    strip_prefix = "rules_docker-0.15.0",
    urls = ["https://github.com/bazelbuild/rules_docker/archive/v0.15.0.tar.gz"],
)

# License rules.
http_archive(
    name = "rules_license",
    sha256 = "6157e1e68378532d0241ecd15d3c45f6e5cfd98fc10846045509fb2a7cc9e381",
    urls = [
        "https://mirror.bazel.build/github.com/bazelbuild/rules_license/releases/download/0.0.4/rules_license-0.0.4.tar.gz",
        "https://github.com/bazelbuild/rules_license/releases/download/0.0.4/rules_license-0.0.4.tar.gz",
    ],
)