code: def supports_device(cls, device_str):
      device = Device(device_str)
      if device.type == DeviceType.CPU:
          return True
      elif core.IsGPUDeviceType(device.type):
          return workspace.has_gpu_support
      return False
  
imports: import collections
  import sys
  import zipfile
  import itertools
  import onnx.backend
  from caffe2.python import core, workspace, rnn_cell, gru_cell
  from caffe2.python.model_helper import ModelHelper
  from caffe2.proto import caffe2_pb2
  import caffe2.python.utils
  import numpy
  import onnx
  from onnx import TensorProto
  import onnx.numpy_helper
  import onnx.defs
  import onnx.shape_inference
  import onnx.utils
  from onnx.backend.base import Backend, Device, DeviceType, namedtupledict
  from caffe2.python.onnx.workspace import Workspace
  from caffe2.python.onnx.backend_rep import Caffe2Rep
  import caffe2.python._import_c_extension
  import warnings
label_desc: Use image node_id 25 for calling the Caffe2Backend obj's underlying member method code with example usage: obj.supports_device(cls, device_str) and returns: False, True, workspace