],
)

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"],

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

cc_library(
    name = "array_ops",
    srcs = [
        "array_ops.cc",
    ],
    hdrs = [
        "array_ops.h",
    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c/eager:abstract_context",

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",

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",
    ],

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",

    ],
)

pytype_strict_library(
    name = "stablehlo",
    srcs = ["stablehlo.py"],
    srcs_version = "PY3",
    visibility = ["//visibility:public"],
    deps = [
        ":stablehlo_extension",
    ],
)

py_strict_test(
    name = "stablehlo_test",
    srcs = ["stablehlo_test.py"],
    python_version = "PY3",
    deps = [
        ":stablehlo",