cc_library(
    name = "cpu_hardware",
    srcs = ["cpu_hardware.cc"],
    deps = [
        ":target_hardware",
        "//tensorflow/compiler/mlir/lite:cost_estimators",
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",
        "//tensorflow/compiler/mlir/lite/experimental/tac:common",
    ],
    alwayslink = 1,
)

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

    ],
)

tf_cc_test(
    name = "tf_op_quant_spec_test",
    srcs = ["tf_op_quant_spec_test.cc"],
    deps = [
        ":tf_op_quant_spec",
        "//tensorflow/compiler/mlir/quantization/tensorflow:quantization_options_proto_cc",
        "@com_google_googletest//:gtest_main",
    ],
)

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

cc_library(
    name = "tfrt_fallback_util",
    srcs = ["tfrt_fallback_util.cc"],
    hdrs = ["tfrt_fallback_util.h"],
    visibility = ["//tensorflow/compiler/mlir/tfrt:__subpackages__"],
    deps = [
        ":tfrt_fallback_async_opdefs",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
    ],
)

td_library(
    name = "tfrt_fallback_td_files",
    srcs = [
        "tfrt_fallback.td",

        ],
    licenses = ["notice"],
)

cc_library(
    name = "save",
    srcs = ["save.cc"],
    hdrs = ["save.h"],
    deps = [
        "//tensorflow/core:lib",
        "//tensorflow/core/platform:status",
    ],
)

tf_cc_test(
    name = "save_test",
    size = "small",
    srcs = ["save_test.cc"],
    deps = [
        ":save",
        "//tensorflow/core:lib",

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

td_library(
    name = "mlrt_td_files",
    srcs = [
        "mlrt_dialect.td",
        "mlrt_ops.td",
    ],
    includes = ["."],
    visibility = [
        # copybara:uncomment "//learning/brain/tfrt/mlir:__subpackages__",
    ],
    deps = [

    licenses = ["notice"],
)

td_library(
    name = "lift_as_function_call_td_files",
    srcs = [
        "lift_as_function_call.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:FuncTdFiles",
    ],
)

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

cc_library(
    name = "posix_filesystem_helper",
    srcs = ["posix_filesystem_helper.cc"],
    hdrs = ["posix_filesystem_helper.h"],
    deps = [":copy_file"],
)

# On Linux, we can copy files faster using `sendfile`. But not elsewhere.
# Hence, this private library to select which implementation to use.
cc_library(
    name = "copy_file",
    srcs = select({
        "//tensorflow:linux_x86_64": ["copy_file_linux.cc"],

)

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

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

    default_visibility = [
        ":internal_visibility_allowlist_package",
        "//tensorflow:__pkg__",
    ],
    licenses = ["notice"],
)

pytype_strict_library(
    name = "quantization",
    srcs = ["quantization.py"],
    visibility = ["//visibility:public"],
    deps = [
        ":pywrap_quantization",
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_py",

    ],
)

cc_library(
    name = "gcs_helper",
    srcs = ["gcs_helper.cc"],
    hdrs = ["gcs_helper.h"],
    linkstatic = 1,
    deps = [
        "//tensorflow/c:env",
    ],
)

cc_library(
    name = "cleanup",
    hdrs = ["cleanup.h"],
)

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