AVGFMB
	AVGFMH
	AVGFMF
	AVGFMG
	AVGFMA
	AVGFMAB
	AVGFMAH
	AVGFMAF
	AVGFMAG
	AVGEF
	AVGEG
	AVGBM
	AVZERO
	AVONE
	AVGM
	AVGMB
	AVGMH
	AVGMF
	AVGMG
	AVISTR
	AVISTRB
	AVISTRH
	AVISTRF
	AVISTRBS
	AVISTRHS
	AVISTRFS
	AVL
	AVLR
	AVLREP
	AVLREPB
	AVLREPH
	AVLREPF
	AVLREPG
	AVLC
	AVLCB
	AVLCH
	AVLCF
	AVLCG

          return absl::OkStatus();
        });

    // Register the corresponding fake op kernel.
    const char* node_name = opdef.name().c_str();
    const char* op_name = opdef.name().c_str();
    const char* device_name = "CPU";
    static auto fake_compute_func = [](void* kernel, TF_OpKernelContext* ctx) {
    };

    TF_KernelBuilder* builder =

    if (!tsl::io::GetTestUndeclaredOutputsDir(&test_dir_)) {
      test_dir_ = tsl::testing::TmpDir();
    }
  }

  void SetUp() override {
    tsl::setenv("TF_QUANT_MLIR_DUMP_PREFIX", test_dir_.c_str(), 1);

    mlir::DialectRegistry dialects;
    dialects.insert<mlir::BuiltinDialect, mlir::func::FuncDialect,
                    mlir::stablehlo::StablehloDialect>();

	PDBStr                            = "PodDisruptionBudget"
	ReplicaSetStr                     = "ReplicaSet"
	RoleStr                           = "Role"
	RoleBindingStr                    = "RoleBinding"
	SAStr                             = "ServiceAccount"
	ServiceStr                        = "Service"
	SecretStr                         = "Secret"
	StatefulSetStr                    = "StatefulSet"

    node_name = std::string(attr.getValue());
  }
  absl::StatusOr<std::unique_ptr<tensorflow::NodeDef>> node_def =
      tensorflow::ConvertTFDialectOpToNodeDef(
          inst, node_name.c_str(), /*ignore_unregistered_attrs=*/true);
  RETURN_FAILURE_IF_ERROR(node_def.status());

  const FallbackState& fallback_state = GetDefaultFallbackState();

		// #cgo (nocallback|noescape) <function name>
		if fields := strings.Fields(line); len(fields) == 3 && (fields[1] == "nocallback" || fields[1] == "noescape") {
			continue
		}

		// Split at colon.
		line, argstr, ok := strings.Cut(strings.TrimSpace(line[4:]), ":")
		if !ok {
			return fmt.Errorf("%s: invalid #cgo line: %s", filename, orig)
		}

		// Parse GOOS/GOARCH stuff.
		f := strings.Fields(line)
		if len(f) < 1 {

  const char* comma = "";
  for (const string& factory : factories_sorted) {
    msg += comma + factory;
    comma = ", ";
  }
  msg += ")";

  return errors::InvalidArgument(msg.c_str());
}

static TracingContext* CreateTracingExecutionContext(const char* fn_name,
                                                     TF_Status* s) {
  if (default_factory) {
    return default_factory(fn_name, s);
  }

    TF_Status status;
    handle->Ref();
    TFE_TensorHandle* result_handle = device_.copy_tensor_from_device(
        context_, tensorflow::wrap(handle), target_device_name.c_str(), &status,
        info_);
    handle->Unref();
    if (!status.status.ok()) return status.status;
    *result = tensorflow::unwrap(result_handle);
    (*result)->Ref();
    TFE_DeleteTensorHandle(result_handle);

  if (isa<tracing::TracingOperation>(op.get())) {
    TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingOperation>(op.get())->SetOpName(
        absl::StrCat("ZerosLike", ToId(t)).c_str()));
  }
  TF_RETURN_IF_ERROR(op->AddInput(t));
  int num_outputs = 1;
  std::vector<AbstractTensorHandle*> outputs(num_outputs);
  TF_RETURN_IF_ERROR(

                    TF_Operation** op, const string& op_device, bool check) {
  TF_OperationDescription* desc = TF_NewOperation(graph, op_name, name);
  if (!op_device.empty()) {
    TF_SetDevice(desc, op_device.c_str());
  }
  TF_AddInput(desc, {l, 0});
  TF_AddInput(desc, {r, 0});
  *op = TF_FinishOperation(desc, s);
  if (check) {
    ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
    ASSERT_NE(*op, nullptr);
  }