class_docstr: Describes some metadata about the TPU system.
  
  Attributes:
    num_cores: interger. Total number of TPU cores in the TPU system.
    num_hosts: interger. Total number of hosts (TPU workers) in the TPU system.
    num_of_cores_per_host: interger. Number of TPU cores per host (TPU worker).
    topology: an instance of `tf.tpu.experimental.Topology`, which describes the
      physical topology of TPU system.
    devices: a tuple of strings, which describes all the TPU devices in the
      system.
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code: def __new__(
      cls,
      num_cores,
      num_hosts,
      num_of_cores_per_host,
      topology,
      devices,
  ):
      return super(TPUSystemMetadata, cls).__new__(
          cls,
          num_cores,
          num_hosts,
          num_of_cores_per_host,
          topology,
          devices,
      )
  
file_path: tensorflow/tensorflow/python/tpu/tpu_system_metadata.py
imports: import collections
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.distribute import device_util
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import device
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.tpu import tpu
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling the TPUSystemMetadata obj's underlying member method code with example usage: obj.__new__(cls, num_cores, num_hosts, num_of_cores_per_host, topology, devices) and returns: super