src_   = flag.String("src", "parser.go", "source file to parse")
	skip   = flag.String("skip", "", "files matching this regular expression are skipped by TestStdLib")
)

func TestParse(t *testing.T) {
	ParseFile(*src_, func(err error) { t.Error(err) }, nil, 0)
}

func TestVerify(t *testing.T) {
	ast, err := ParseFile(*src_, func(err error) { t.Error(err) }, nil, 0)
	if err != nil {

    default_visibility = [
        "//tensorflow/compiler/mlir/lite/experimental/tac:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "tac_wrapper_lib",
    srcs = ["tac_wrapper.cc"],
    hdrs = [
        "tac_wrapper.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/lite/experimental/tac:common",

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

td_library(
    name = "QuantizationOpsTdFiles",
    srcs = [
        "QuantOps.td",
        "QuantOpsBase.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:InferTypeOpInterfaceTdFiles",

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

cc_library(
    name = "inference_metrics_pass",
    srcs = ["inference_metrics_pass.cc"],
    hdrs = ["inference_passes.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":inference_passes_inc_gen",
        "//tensorflow/compiler/mlir/tensorflow",

# For more information, see: https://github.com/kubernetes/kubernetes/pull/91452
BIN.linux = pause
BIN.windows = pause wincat
BIN := ${BIN.${OS}}
SRCS.linux = linux/pause.c
SRCS.windows = windows/pause.c
SRCS := ${SRCS.${OS}}

EXTENSION.linux =
EXTENSION.windows = .exe
EXTENSION := ${EXTENSION.${OS}}

# The manifest command is still experimental as of Docker 18.09.3

    default_visibility = [":friends"],
    licenses = ["notice"],
)

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

tf_cuda_library(
    name = "mlir_c_api",
    srcs = [
        "c_api_unified_experimental_mlir.cc",
    ],
    copts = tf_copts(),
    deps = [
        "//tensorflow/c:c_api",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c:tf_status_helper",

	{"copy", `var src, dst []byte; copy(dst, src)`, `func([]byte, []byte) int`},
	{"copy", `type T [][]int; var src, dst T; _ = copy(dst, src)`, `func(p.T, p.T) int`},
	{"copy", `var src string; var dst []byte; copy(dst, src)`, `func([]byte, string) int`},
	{"copy", `type T string; type U []byte; var src T; var dst U; copy(dst, src)`, `func(p.U, p.T) int`},

        "//tensorflow/compiler/mlir/tensorflow:__pkg__",
        "//tensorflow/compiler/mlir/tfrt:__subpackages__",
    ],
    licenses = ["notice"],
)

td_library(
    name = "tensorflow_tfrt_ops_td_files",
    srcs = [
        "tfrt_ops.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_ops_td_files",

    ],
    licenses = ["notice"],
)

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

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

gen_op_bindings(name = "composite")

node {
  name: "args_0"
  op: "_Arg"
  attr {
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    value {
      type: DT_RESOURCE
    }
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  attr {
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node {
  name: "spc1"
  op: "StatefulPartitionedCall"
  input: "input0"
  input: "args_0"
  attr {
    key: "Tin"
    value {
      list {
        type: DT_FLOAT
        type: DT_RESOURCE
      }
    }
  }
  attr {