],
)

cc_library(
    name = "tf_quantize_op_utils",
    srcs = ["tf_quantize_op_utils.cc"],
    hdrs = ["tf_quantize_op_utils.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "tf_to_uniform_attribute_utils",
    srcs = ["tf_to_uniform_attribute_utils.cc"],

tf_cc_binary(
    name = "tfl_quantizer",
    srcs = [
        "tfl_quantizer.cc",
    ],
    deps = [
        ":quantize_model",
        "//tensorflow/compiler/mlir/lite/schema:schema_fbs",
        "//tensorflow/lite:framework",
        "//tensorflow/lite/c:c_api_types",
        "@llvm-project//llvm:Support",
    ],
)

tf_cc_test(
    name = "quantize_model_test",
    srcs = ["quantize_model_test.cc"],
    args = [

    default_visibility = [
        # Restricting visibility for now
        "//tensorflow/c/experimental/saved_model/core:__pkg__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "asset",
    srcs = [
        "asset.cc",
    ],
    hdrs = [
        "asset.h",
    ],
    deps = [
        ":tensorhandle_convertible",
        "//tensorflow/c:tensor_interface",

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

cc_library(
    name = "util",
    srcs = [
        "util.cc",
    ],
    hdrs = [
        "util.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",
        "//tensorflow/compiler/mlir/tensorflow",

    ],
)

filegroup(
    name = "converter_python_api_hdrs",
    srcs = [
        "converter_python_api.h",
    ],
    visibility = [
        "//tensorflow/python:__subpackages__",
    ],
)

cc_library(
    name = "converter_python_api",
    srcs = ["converter_python_api.cc"],
    hdrs = ["converter_python_api.h"],
    features = ["-parse_headers"],

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = ["//visibility:private"],
)

cc_library(
    name = "auto_clustering_test_helper",
    testonly = True,
    srcs = ["auto_clustering_test_helper.cc"],
    hdrs = ["auto_clustering_test_helper.h"],
    visibility = ["//visibility:public"],
    deps = [
        "//tensorflow/compiler/jit:compilation_passes",

}

type byRFC6724 struct {
	addrs    []IPAddr // addrs to sort
	addrAttr []ipAttr
	srcs     []netip.Addr // or not valid addr if unreachable
	srcAttr  []ipAttr
}

func (s *byRFC6724) Len() int { return len(s.addrs) }

func (s *byRFC6724) Swap(i, j int) {
	s.addrs[i], s.addrs[j] = s.addrs[j], s.addrs[i]
	s.srcs[i], s.srcs[j] = s.srcs[j], s.srcs[i]
	s.addrAttr[i], s.addrAttr[j] = s.addrAttr[j], s.addrAttr[i]

filegroup(
    name = "extra_files",
    srcs = glob(
        [
            "**/importer_test_min_max.cc.mlir",
            "**/reshape.mlir",
        ],
    ),
)

# A binary to inject min/max to a tflite model.
# A file check command is used to verify the imported result from this
# binary format.
tf_native_cc_binary(
    name = "importer_test_min_max",
    srcs = [
        "importer_test_min_max.cc",
    ],

)

cc_library(
    name = "error_collector",
    srcs = ["error_collector.cc"],
    hdrs = ["error_collector.h"],
    deps = [
        ":types_util",
        "//tensorflow/lite/python/metrics:converter_error_data_proto_cc",
        "@com_google_absl//absl/strings",
    ],
)

cc_library(
    name = "error_collector_inst",
    srcs = ["error_collector_inst.cc"],
    hdrs = ["error_collector_inst.h"],

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

cc_library(
    name = "freeze_saved_model",
    srcs = ["freeze_saved_model.cc"],
    hdrs = ["freeze_saved_model.h"],
    deps = [
        "//tensorflow/cc/saved_model:loader",
        "//tensorflow/core:core_cpu",
        "//tensorflow/core:lib",