decision-forests/WORKSPACE

85 lines
2.4 KiB
Python

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
# ==========================================
# Start of TensorFlow and its dependencies
# ==========================================
# This version of TensorFlow is injected only to make sure we use the same dependencies as TensorFlow (protobuffer, grpc, absl).
# TensorFlow is not compiled.
# Note: The OPs dynamic library depends on symbols specific to the version of
# absl used by tensorflow.
http_archive(
name = "org_tensorflow",
strip_prefix = "tensorflow-2.16.1",
sha256 = "c729e56efc945c6df08efe5c9f5b8b89329c7c91b8f40ad2bb3e13900bd4876d",
urls = ["https://github.com/tensorflow/tensorflow/archive/v2.16.1.tar.gz"],
# Starting with TF 2.14, disable hermetic Python builds.
patch_args = ["-p1"],
patches = ["//third_party/tensorflow:tf.patch"],
)
# Inject tensorflow dependencies.
# TensorFlow cannot anymore be injected from a sub-module.
# Note: The order is important.
load("@org_tensorflow//tensorflow:workspace3.bzl", tf1 = "workspace")
tf1()
load("@org_tensorflow//tensorflow:workspace2.bzl", tf2 = "workspace")
tf2()
load("@org_tensorflow//tensorflow:workspace1.bzl", tf3 = "workspace")
tf3()
load("@org_tensorflow//tensorflow:workspace0.bzl", tf4 = "workspace")
tf4()
# Inject TensorFlow from the Pypi package.
load("//third_party/tensorflow_pypi:tf_configure.bzl", "tf_configure")
tf_configure(name = "tensorflow_pypi")
# ========================================
# End of TensorFlow and its dependencies
# ========================================
# Third party libraries
load("//third_party/absl_py:workspace.bzl", absl_py = "deps")
load("//third_party/absl:workspace.bzl", absl = "deps")
load("//third_party/benchmark:workspace.bzl", benchmark = "deps")
load("//third_party/gtest:workspace.bzl", gtest = "deps")
load("//third_party/protobuf:workspace.bzl", protobuf = "deps")
absl()
absl_py()
benchmark()
gtest()
protobuf()
# Yggdrasil Decision Forests
load("//third_party/yggdrasil_decision_forests:workspace.bzl", yggdrasil_decision_forests = "deps")
yggdrasil_decision_forests()
load("@ydf//yggdrasil_decision_forests:library.bzl", ydf_load_deps = "load_dependencies")
ydf_load_deps(
exclude_repo = [
"absl",
"protobuf",
"zlib",
"farmhash",
"grpc",
"eigen",
"pybind11",
"pybind11_abseil",
"pybind11_protobuf",
"tensorflow"
],
repo_name = "@ydf",
)