A. Unique TensorFlower <******@****.***> 1762582356 -0800

// DataType value of DT_INVALID signifies that we don't want to
// check the data type.
typedef std::pair<string, DataType> IOSpec;

const char* kFeedStackToString = "File \"feed.cc\", line 10, in alpha";
const char* kNegStackToString = "File \"neg.cc\", line 15, in beta";

std::vector<IOSpec> M(const std::initializer_list<string>& names) {
  std::vector<IOSpec> v;
  for (const string& name : names) {

#include "tensorflow/c/tf_buffer.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_tensor.h"
#include "tensorflow/cc/saved_model/signature_constants.h"
#include "tensorflow/cc/saved_model/tag_constants.h"
#include "tensorflow/core/example/example.pb.h"
#include "tensorflow/core/example/feature.pb.h"
#include "tensorflow/core/framework/api_def.pb.h"

    visibility = ["//tensorflow:__subpackages__"],
)

filegroup(
    name = "srcs",
    srcs = glob(
        [
            "*.cc",
            "*.h",
        ],
        exclude = [
            "c_api_experimental.cc",
            "c_api_experimental.h",
            "python_api.cc",
            "python_api.h",
            "*test*",
        ],
    ) + [
        "//tensorflow/cc:srcs_no_runtime",

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common:macos --host_linkopt=-Wl,-undefined,dynamic_lookup

# Use the old Apple toolchain for MacOS builds.
common:macos --config=clang_local
common:macos --config=apple-toolchain

# Use cc toolchains from apple_support for Apple builds (ios, macos, etc).
# https://github.com/bazelbuild/apple_support/tree/master?tab=readme-ov-file#bazel-6-setup
common:apple-toolchain --apple_crosstool_top=@local_config_apple_cc//:toolchain

        "//tensorflow/c:kernels",
        "//tensorflow/c:kernels_experimental",
        "//tensorflow/c:ops",
        "//tensorflow/cc/saved_model:fingerprinting_impl",
        "//tensorflow/cc/saved_model:loader_lite_impl",
        "//tensorflow/cc/saved_model:metrics_impl",
        "//tensorflow/compiler/tf2tensorrt:op_converter_registry_impl",
        "//tensorflow/core/common_runtime:core_cpu_impl",

    urls = tf_mirror_urls(
        "https://github.com/google-ml-infra/rules_ml_toolchain/archive/802e0dbbcc3cd82ac5b0accbff6f95b70106d0d1.tar.gz",
    ),
)

load(
    "@rules_ml_toolchain//cc/deps:cc_toolchain_deps.bzl",
    "cc_toolchain_deps",
)

cc_toolchain_deps()

register_toolchains("@rules_ml_toolchain//cc:linux_x86_64_linux_x86_64")

  # package, ever.
  cat > $BATS_TEST_TMPDIR/ignore_these_deps <<EOF
benchmark
_test$
_test.py$
_test_cpu$
_test_cpu.py$
_test_gpu$
_test_gpu.py$
_test_lib$
//tensorflow/cc/saved_model:saved_model_test_files
//tensorflow/cc/saved_model:saved_model_half_plus_two
//tensorflow:no_tensorflow_py_deps
//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata

            return left.length() - right.length();
          }
        });
    builder.put("cc", 4);
    builder.put("a", 2);
    builder.put("bb", 6);
    ImmutableListMultimap<String, Integer> multimap = builder.build();
    assertThat(multimap.keySet()).containsExactly("d", "a", "bb", "cc").inOrder();
    assertThat(multimap.values()).containsExactly(2, 5, 2, 3, 6, 4).inOrder();