class_docstr: Resolving AutoDist DeviceSpec to TensorFlow DeviceSpec given a cluster.
docstr: Resolve an AutoDist DeviceSpec or its string to a TensorFlow DeviceSpec.
code: def resolve_to_device_spec(self, device):
      """Resolve an AutoDist DeviceSpec or its string to a TensorFlow DeviceSpec."""
      if isinstance(device, (list, set)):
          return type(device)(
              self.resolve_to_device_spec(d) for d in device
          )
      if isinstance(device, str):
          device = DeviceSpec.from_string(device)
      t = self._address_to_tasks.get(device.host_address)[
          0
      ]  # temporarily only use the first one
      return device_spec.DeviceSpecV2(
          job=t[
              "job"
          ],  # temporarily not fully resolving it before memory issue solved
          task=t["task"],
          device_type=device.device_type.name,
          device_index=device.device_index,
      )
  
file_path: autodist/autodist/kernel/device/resolver.py
imports: from collections import defaultdict
  from google.protobuf.pyext._message import RepeatedScalarContainer
  from tensorflow.python.framework import device_spec
  from autodist.resource_spec import DeviceSpec
label_desc: Use image node_id 3 for calling the DeviceResolver obj's underlying member method code with example usage: obj.resolve_to_device_spec(device) and returns: device_spec, type