"tf.DumpTensor"(%4) {device = "", enabled = true, file_name = "quantized_tensor_data.pb", func_name = "conv_with_dump", log_dir_path = "/tmp/dumps/composite_conv2d_with_bias_and_relu6_fn_1", node_name = "Conv2D_1"} : (tensor<*xf32>) -> ()

  // Exercise kernel NodeDef name read
  TF_StringView name_string_view = TF_OpKernelConstruction_GetName(ctx);
  std::string node_name = "SomeNodeName";
  std::string candidate_node_name =
      std::string(name_string_view.data, name_string_view.len);
  EXPECT_EQ(node_name, candidate_node_name);
  return s;
}

static void MyComputeFunc(void* kernel, TF_OpKernelContext* ctx) {

      attr_val: Value of the attr_name to check.
      node_name: Name of the node to match. Accepts regex2 format.

    Returns:
      True if there exists a node whose name matches `op_name` and 'attr_val' if
      'attr_name' is given.
    """

    def match_node_name(name):
      if not node_name:
        return True
      compiled_regex = re.compile(node_name)
      match = re.fullmatch(compiled_regex, name)

  local nodes_stats="${KUBECTL} --kubeconfig '${CERT_DIR}/admin.kubeconfig' get nodes"
  local node_name=$HOSTNAME_OVERRIDE
  local system_node_wait_time=60
  local interval_time=2
  kube::util::wait_for_success "$system_node_wait_time" "$interval_time" "$nodes_stats | grep $node_name"
  if [ $? == "1" ]; then
    echo "time out on waiting $node_name exist"
    exit 1
  fi

  local system_node_ready_time=300

  bool IsInCompsiteFunction(Operation* op) {
    func::FuncOp parent = op->getParentOfType<func::FuncOp>();
    if (!parent) return false;

    StringRef sym_name = parent.getSymName();
    return sym_name.starts_with(kQuantizedFuncPrefix) ||
           sym_name.starts_with(kCompositeFuncPrefix);
  }

  ModuleOp module_;
  SymbolTable symbol_table_;
};

    }
  }

  struct EdgeInfo {
    absl::string_view node_name;
    std::optional<absl::string_view> cluster_name;

    absl::string_view GetClusterName() const {
      return cluster_name ? *cluster_name : "[none]";
    }

    std::pair<absl::string_view, std::optional<absl::string_view>> AsPair()
        const {
      return {node_name, cluster_name};
    }

  # try creating again just in case.
  New-Item $fluentd_config_dir -ItemType 'directory' -Force | Out-Null

  $config = $FLUENTD_CONFIG.replace('NODE_NAME', (hostname))
  $config | Out-File -FilePath $fluentd_config_file -Encoding ASCII
  Log-Output "Wrote fluentd logging config to $fluentd_config_file"

self-contained.
For example, this would transform

"tf_saved_model.global_tensor"() { sym_name = "v" ... }
func @f(%arg0 {tf_saved_model.bound_input = @v}) {
  %1 = "tf.ReadVariableOp"(%arg0)
  ...
}

to

func @f(%arg0 {tf_saved_model.bound_input = @v}) {
  %0 = "tf.VarHandleOp"(sym_name = "v")
  %1 = "tf.ReadVariableOp"(%0)
  ...
}