docstr: Returns all the logical variables of the topology.
docstr_tok: ["Returns","all","the","logical","variables","of","the","topology","."]
code: def variables(self):
      """
      Returns all the logical variables of the topology.
      """
      return self.scope.variables
  
imports: import numpy
  import os
  from packaging.version import Version, parse
  import torch
  from uuid import uuid4
  from onnxconverter_common.registration import get_converter
  from onnxconverter_common.topology import Topology
  import onnx
  from hummingbird.ml.containers import PyTorchSklearnContainerRegression, PyTorchSklearnContainerClassification, PyTorchSklearnContainerTransformer, PyTorchSklearnContainerAnomalyDetection, TorchScriptSklearnContainerRegression, TorchScriptSklearnContainerClassification, TorchScriptSklearnContainerTransformer, TorchScriptSklearnContainerAnomalyDetection, ONNXSklearnContainerRegression, ONNXSklearnContainerClassification, ONNXSklearnContainerTransformer, ONNXSklearnContainerAnomalyDetection, TVMSklearnContainerRegression, TVMSklearnContainerClassification, TVMSklearnContainerTransformer, TVMSklearnContainerAnomalyDetection, BatchContainer
  from hummingbird.ml._utils import pandas_installed, tvm_installed, get_device, from_strings_to_ints
  from hummingbird.ml._executor import Executor
  from hummingbird.ml.exceptions import MissingConverter
  from hummingbird.ml.operator_converters import constants
label_desc: Use image node_id 3 for calling the Topology obj's underlying member method code with example usage: obj.variables() and returns: self