)

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

cc_library(
    name = "component",
    hdrs = ["component.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_cc",
        "@com_google_absl//absl/status:statusor",

)

cc_library(
    name = "tac-opt_lib",
    testonly = True,
    deps = [
        ":target_aware_conversion",
        "//tensorflow/compiler/mlir:tf_mlir_opt_main",
    ],
    alwayslink = 1,
)

# Binary with no hardwares linked.
tf_cc_binary(
    name = "tac-opt",
    testonly = True,
    deps = [
        ":tac-opt_lib",
    ],
)

# Binary with all backends linked.

    td_file = "tf_ops.td",
    deps = [":tf_mlrt_td_files"],
)

cc_library(
    name = "tf_mlrt_ops",
    srcs = ["tf_mlrt_ops.cc"],
    hdrs = ["tf_mlrt_ops.h"],
    visibility = [
        # copybara:uncomment "//learning/brain/experimental/tfrt/mlrt/application/tensorflow/tests:__subpackages__",
        "//tensorflow/compiler/mlir/tfrt:__subpackages__",
    ],
    deps = [
        ":mlrt_ops",

    deps = [":quant_td_files"],
)

gentbl_cc_library(
    name = "quantize_composite_functions_inc_gen",
    compatible_with = get_compatible_with_portable(),
    tbl_outs = [
        (
            ["-gen-rewriters"],
            "passes/quantize_composite_functions.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "passes/quantize_composite_functions.td",

    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "reducer/tf_mlir_reduce_patterns.td",
    deps = [
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_ops_td_files",
    ],
)

cc_library(
    name = "tfe_legalize_tfg",
    srcs = [
        "passes.h",
        "tfg-to-tfe.cc",
    ],
    deps = [
        ":tf_device_pass_inc_gen",
        ":tf_pass_inc_gen",

    ],
    deps = [":get_compiler_ir_hdrs"],
)

# This target can be used by XLA device plugins to prevent circular dependencies, and provides access to all of the required headers for building a device library.
cc_header_only_library(
    name = "xla_jit_headers_lib",
    visibility = ["//visibility:public"],
    deps = [
        ":xla_cpu_device",
        ":xla_cpu_jit",

    td_file = "transforms/legalize_tensorlist.td",
    deps = [":tensorflow_lite_patterns_td_files"],
)

cc_library(
    name = "validators",
    srcs = [
        "utils/validators.cc",
    ],
    hdrs = [
        "utils/validators.h",
    ],
    deps = [
        "@llvm-project//mlir:Dialect",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",

    td_file = "runtime_fallback/runtime_fallback_ops.td",
    deps = [":runtime_fallback_ops_td_files"],
)

cc_library(
    name = "runtime_fallback_opdefs",
    srcs = [
        "runtime_fallback/runtime_fallback_combine.cc",
        "runtime_fallback/runtime_fallback_ops.cc",
    ],
    hdrs = [
        "runtime_fallback/runtime_fallback_ops.h",
    ],
    deps = [
        ":runtime_fallback_ops_inc_gen",

    hdrs = [
        "tf_mlir_translate_cl.h",
    ],
    deps = [
        "@llvm-project//llvm:Support",
    ],
    alwayslink = 1,
)

cc_library(
    name = "export_graphdef",
    srcs = [
        "export_graphdef.cc",
    ],
    hdrs = [
        "export_graphdef.h",
    ],
    visibility = ["//visibility:public"],
    deps = [
        ":export_tf_dialect_op",

        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "clustering_passes.td",
    deps = [
        "@llvm-project//mlir:PassBaseTdFiles",
    ],
)

tf_cc_test(
    name = "verify_clustering_pass_test",
    srcs = ["verify_clustering_pass_test.cc"],
    deps = [
        ":clustering_passes",
        "//tensorflow/compiler/mlir/tf2xla/transforms:test_utils",