class_docstr: Describes a set of TPU devices.
  
  Represents both the shape of the physical mesh, and the mapping between
  TensorFlow TPU devices to physical mesh coordinates.
class_docstr_tok: ["Describes","a","set","of","TPU","devices",".","Represents","both","the","shape","of","the","physical","mesh",",","and","the","mapping","between","TensorFlow","TPU","devices","to","physical","mesh","coordinates","."]
docstr: Returns the CPU device attached to a logical core.
docstr_tok: ["Returns","the","CPU","device","attached","to","a","logical","core","."]
code: def cpu_device_name_at_coordinates(
      self, device_coordinates, job=None
  ):
      """Returns the CPU device attached to a logical core."""
      return _tpu_host_device_name(
          job, self._topology_tasks[tuple(device_coordinates)]
      )
  
imports: import numpy
  from tensorflow.core.protobuf.tpu import topology_pb2
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 10 for calling the Topology obj's underlying member method code with example usage: obj.cpu_device_name_at_coordinates(device_coordinates, job) and returns: _tpu_host_device_name