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workspace1.bzl
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workspace1.bzl
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"""TensorFlow workspace initialization. Consult the WORKSPACE on how to use it."""
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("@com_github_grpc_grpc//bazel:grpc_deps.bzl", "grpc_deps")
load("@io_bazel_rules_closure//closure:defs.bzl", "closure_repositories")
load("@rules_pkg//:deps.bzl", "rules_pkg_dependencies")
load("@tsl//:workspace1.bzl", "tsl_workspace1")
# buildifier: disable=unnamed-macro
def workspace():
"""Loads a set of TensorFlow dependencies in a WORKSPACE file."""
tsl_workspace1()
native.register_toolchains("@local_config_python//:py_toolchain")
rules_pkg_dependencies()
closure_repositories()
http_archive(
name = "bazel_toolchains",
sha256 = "294cdd859e57fcaf101d4301978c408c88683fbc46fbc1a3829da92afbea55fb",
strip_prefix = "bazel-toolchains-8c717f8258cd5f6c7a45b97d974292755852b658",
urls = [
"http://mirror.tensorflow.org/github.com/bazelbuild/bazel-toolchains/archive/8c717f8258cd5f6c7a45b97d974292755852b658.tar.gz",
"https://github.com/bazelbuild/bazel-toolchains/archive/8c717f8258cd5f6c7a45b97d974292755852b658.tar.gz",
],
)
grpc_deps()
# Alias so it can be loaded without assigning to a different symbol to prevent
# shadowing previous loads and trigger a buildifier warning.
xla_workspace1 = workspace