auto attr = node_def->mutable_attr();
  if (node_def->op() == "Cast" && attr->contains("SrcT") &&
      attr->contains("DstT") &&
      attr->at("SrcT").type() == attr->at("DstT").type() &&
      attr->contains("Truncate") && !attr->at("Truncate").b()) {
    node_def->set_op("Identity");
    attr->insert({{"T", attr->at("SrcT")}});
    attr->erase("SrcT");
    attr->erase("DstT");
    attr->erase("Truncate");
  }
}

    ],
    licenses = ["notice"],
)

package_group(
    name = "friends",
    packages = [
        "//tensorflow/compiler/mlir/...",
    ],
)

filegroup(
    name = "decomposition_lib",
    srcs = ["decomposition_lib.mlir"],
)

gen_op_bindings(name = "composite")

  }
  attr {
    key: "executor_type"
    value {
      s: ""
    }
  }
  attr {
    key: "f"
    value {
      func {
        name: "function"
      }
    }
  }
}
node {
  name: "spc2"
  op: "StatefulPartitionedCall"
  input: "input0"
  input: "args_0"
  attr {
    key: "Tin"
    value {
      list {
        type: DT_FLOAT
        type: DT_RESOURCE
      }
    }
  }
  attr {

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

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

)

config_setting(
    name = "disable_mlir_config",
    flag_values = {":disable_mlir": "True"},
    visibility = ["//visibility:public"],
)

cc_library(
    name = "mlir",
    srcs = ["mlir.cc"],
    hdrs = ["mlir.h"],
    deps = [
        "@com_google_absl//absl/algorithm:container",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/container:inlined_vector",

)

# Run this binary manually, with an argument pointing to the testdata/
# directory, to generate the test files used by the filegroup rule below.
py_strict_binary(
    name = "gen_saved_models",
    srcs = ["gen_saved_models.py"],
    python_version = "PY3",
    deps = [
        "//tensorflow/python/compat:v2_compat",
        "//tensorflow/python/eager:def_function",
        "//tensorflow/python/framework:constant_op",

cc_library(
    name = "tensor_types_test_util",
    testonly = True,
    hdrs = ["tensor_types_test_util.h"],
    deps = [
        "//tensorflow/c:tf_datatype",
    ],
)

tf_cc_test(
    name = "tensor_test",
    srcs = [
        "tensor_test.cc",
    ],
    deps = [
        ":tensor_types_test_util",
        "//tensorflow/c:tf_datatype",
        "//tensorflow/cc/experimental/base/public:status",

    default_visibility = [
        "//tensorflow/cc/experimental/libtf:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "core",
    srcs = [
        "core.cc",
    ],
    hdrs = [
        "core.h",
    ],
    deps = [
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c:tf_status_internal",
        "//tensorflow/c/eager:c_api",

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

tf_py_clif_cc(
    name = "loader",
    srcs = ["loader.clif"],
    deps = [
        "//tensorflow/cc/saved_model:loader",
    ],

    default_visibility = [
        "//tensorflow/compiler/mlir/quantization/stablehlo:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "save_report",
    srcs = ["save_report.cc"],
    hdrs = ["save_report.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/quantization/stablehlo/cc:report",