],
    licenses = ["notice"],
)

cc_library(
    name = "min_max_value",
    srcs = [],
    hdrs = ["min_max_value.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [],
)

cc_library(
    name = "statistics",
    srcs = ["statistics.cc"],
    hdrs = ["statistics.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [

    ],
)

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 = [

    ],
)

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"],

        "@llvm-project//mlir:Support",
    ],
)

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

tf_cc_test(
    name = "math_utils_test",
    srcs = ["utils/math_utils_test.cc"],
    deps = [
        ":math_utils",

func testFiles(t *testing.T, filenames []string, srcs [][]byte, colDelta uint, manual bool, opts ...func(*Config)) {
	enableAlias := true
	opts = append(opts, func(conf *Config) { conf.EnableAlias = enableAlias })
	testFilesImpl(t, filenames, srcs, colDelta, manual, opts...)
	if !manual {
		enableAlias = false
		testFilesImpl(t, filenames, srcs, colDelta, manual, opts...)
	}
}

}

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"],

load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

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

filegroup(
    name = "headers",
    srcs = [
        "stream_executor.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

cc_library(
    name = "stream_executor_hdrs",
    hdrs = ["stream_executor.h"],