"//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/c/eager:tfe_context_internal",
        "//tensorflow/core:framework",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/common_runtime/eager:context",
    ],
)

cc_library(
    name = "parallel_device_testlib",
    testonly = 1,

    deps = [
        "//tensorflow/core:test",
        "//tensorflow/core/platform:protobuf",
    ],
)

tf_cc_test(
    name = "util_test",
    size = "small",
    srcs = ["util_test.cc"],
    deps = [
        ":test_utils",
        ":util",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",

        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_types",
        "//tensorflow/core:framework",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/framework:tensor_testutil",
        "//tensorflow/core/util/tensor_bundle",
        "@com_google_absl//absl/cleanup",

			},
		},
		5: {
			desc:       "Correct sha256, nested",
			src:        mustReader(t, bytes.NewReader([]byte("abcd")), 4, "", "", 4),
			size:       4,
			actualSize: 4,
			sha256hex:  "88d4266fd4e6338d13b845fcf289579d209c897823b9217da3e161936f031589",
		},
		{
			desc:       "Correct sha256, nested, truncated",

        ":xla_gpu_jit",
        "//tensorflow/cc:function_ops",
        "//tensorflow/cc:math_ops",
        "//tensorflow/cc:scope",
        "//tensorflow/core:framework",
        "//tensorflow/core:test",
        "//tensorflow/core/kernels:ops_testutil",
        "//tensorflow/core/platform:errors",
        "//tensorflow/core/platform:status",
        "//tensorflow/core/platform:status_matchers",

        "//tensorflow/c:tf_datatype",
        "//tensorflow/cc/experimental/base/public:status",
        "//tensorflow/cc/experimental/base/public:tensor",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

tf_cc_test(
    name = "tensorhandle_test",
    srcs = [
        "tensorhandle_test.cc",
    ],
    deps = [
        ":tensor_types_test_util",

func.func @resource() {
  // CHECK: tf.SomeOp
  // CHECK-SAME: dtype = !corert.resource
  "tf.SomeOp"() {device = "/device:CPU:0", dtype = !tf_type.resource} : () -> ()
  func.return
}

// CHECK-LABEL: func @variant
func.func @variant(%arg: tensor<!tf_type.variant>) {
  // CHECK: tf.ZerosLike
  // CHECK-SAME: T = !corert.variant

    ],
)

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

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

std::unique_ptr<tfrt::CoreRuntime> CreateTestCoreRuntime() {
  auto corert = tfrt::CoreRuntime::Create(
      /*diag_handler=*/[](const tfrt::DecodedDiagnostic&
                              diag) { LOG(ERROR) << diag.message(); },
      tfrt::CreateMallocAllocator(),
      tfrt::CreateMultiThreadedWorkQueue(16, 16));
  CHECK(corert);
  auto fallback_op_handler = tensorflow::tfd::CreateKernelFallbackOpHandler(

                @TaskAction
                def verify() {
                    assert incomingFiles*.name == ["correct"]
                }
            }
        """
    }

    def "resolve the correct files through artifactView"() {
        expect:
        succeeds ':verifyFiles'
    }