class_docstr: Represents a TPU core's location in the mesh.
code: def __init__(self, x: int = 0, y: int = 0, z: int = 0, core: int = 0):
      self.x = x
      self.y = y
      self.z = z
      self.core = core
  
imports: import functools
  import time
  from typing import List, Optional, Dict
  import numpy
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import dtensor_device
  from tensorflow.dtensor.python import gen_dtensor_ops
  from tensorflow.dtensor.python import layout
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.tpu import topology
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 to create a new _CoreLocation object  with example: obj = _CoreLocation(x, y, z, core)