filegroup(
    name = "gcc",
    srcs = glob(["bin/*-gcc"]),
)

filegroup(
    name = "ar",
    srcs = glob(["bin/*-ar"]),
)

filegroup(
    name = "ld",
    srcs = glob(["bin/*-ld"]),
)

filegroup(
    name = "nm",
    srcs = glob(["bin/*-nm"]),
)

filegroup(
    name = "objcopy",
    srcs = glob(["bin/*-objcopy"]),
)

filegroup(
    name = "objdump",

    "tf_kernel_library",
)
load("//tensorflow:tensorflow.default.bzl", "filegroup", "tf_cuda_cc_test")
load(
    "//tensorflow/core/tpu:build_defs.bzl",
    "if_libtpu_tf_status",
)

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

filegroup(
    name = "safe_ptr_hdr",
    srcs = ["safe_ptr.h"],
    visibility = [

package(default_visibility = ["//visibility:public"])

licenses(["notice"])  # Apache 2.0

filegroup(
    name = "model_files",
    srcs = glob(
        [
            "**/*",
        ],
        exclude = [
            "**/BUILD",
            "**/WORKSPACE",
            "**/LICENSE",
            "**/*.zip",
        ],
    ),

#     package_name = "tensorflow",
# )
#
# filegroup(
#     name = "copybara_library",
#     srcs = glob(
#         [
#             "*.bara.sky",
#             "*.dic",
#             "*.ftrcp",
#         ],
#         exclude = [
#             "copy.bara.sky",
#         ],
#     ),
#     visibility = ["//visibility:public"],
# )
#
# filegroup(
#     name = "copybara_config",

  pip install twine==3.6.0
fi

# When cross-compiling with RBE, we need to copy the macOS sysroot to be
# inside the TensorFlow root directory. We then define them as a filegroup
# target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel
# can register it as an input to compile/link actions and send it to the remote
# VMs when needed.