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chore: import upstream snapshot with attribution
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Python

"""TensorFlow workspace initialization. Consult the WORKSPACE on how to use it."""
load("@bazel_toolchains//repositories:repositories.bzl", bazel_toolchains_repositories = "repositories")
load("@build_bazel_apple_support//lib:repositories.bzl", "apple_support_dependencies")
load("@build_bazel_rules_apple//apple:repositories.bzl", "apple_rules_dependencies")
load("@build_bazel_rules_swift//swift:repositories.bzl", "swift_rules_dependencies")
load("@com_github_grpc_grpc//bazel:grpc_extra_deps.bzl", "grpc_extra_deps")
load("@local_config_android//:android.bzl", "android_workspace")
load("@rules_foreign_cc//foreign_cc:repositories.bzl", "rules_foreign_cc_dependencies")
load("//third_party:models_repos.bzl", "models_repositories")
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
load("//third_party/googleapis:repository_rules.bzl", "config_googleapis")
def _tf_bind():
"""Bind targets for some external repositories"""
##############################################################################
# BIND DEFINITIONS
#
# Please do not add bind() definitions unless we have no other choice.
# If that ends up being the case, please leave a comment explaining
# why we can't depend on the canonical build target.
def workspace():
"""TensorFlow workspace initialization."""
models_repositories()
bazel_toolchains_repositories()
# Apple rules for Bazel. https://github.com/bazelbuild/rules_apple.
# Note: We add this to fix Kokoro builds.
# The rules below call into `rules_proto` but the hash has changed and
# Bazel refuses to continue. So, we add our own mirror.
tf_http_archive(
name = "rules_proto",
sha256 = "20b240eba17a36be4b0b22635aca63053913d5c1ee36e16be36499d167a2f533",
strip_prefix = "rules_proto-11bf7c25e666dd7ddacbcd4d4c4a9de7a25175f8",
urls = tf_mirror_urls(
"https://github.com/bazelbuild/rules_proto/archive/11bf7c25e666dd7ddacbcd4d4c4a9de7a25175f8.tar.gz",
),
)
# Now, finally use the rules
apple_rules_dependencies()
swift_rules_dependencies()
apple_support_dependencies()
android_workspace()
# If a target is bound twice, the later one wins, so we have to do tf bindings
# at the end of the WORKSPACE file.
_tf_bind()
grpc_extra_deps()
rules_foreign_cc_dependencies()
config_googleapis()
# Alias so it can be loaded without assigning to a different symbol to prevent
# shadowing previous loads and trigger a buildifier warning.
tf_workspace0 = workspace