code: def _tensor_conversion_tpu_replicated_var(
      var, dtype=None, name=None, as_ref=False
  ):
      return var._dense_var_to_tensor(
          dtype=dtype, name=name, as_ref=as_ref
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from collections import abc
  import contextlib
  from tensorflow.python.compiler.xla.experimental import xla_sharding
  from tensorflow.python.distribute import tpu_util
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_conversion_registry
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_resource_variable_ops
  from tensorflow.python.ops import gen_tpu_partition_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.saved_model import save_context
  from tensorflow.python.trackable import base
label_desc: Use image node_id 2 for calling a global function with example usage: _tensor_conversion_tpu_replicated_var(var, dtype, name, as_ref) and returns: var