code: def _create_prev_run_vars(self, var_names, shapes, initializers):
      with ops.Graph().as_default() as g:
          with self.session(graph=g) as sess:
              all_vars = []
              for var_name, shape, initializer in zip(
                  var_names, shapes, initializers
              ):
                  all_vars.append(
                      variable_scope.get_variable(
                          var_name, shape=shape, initializer=initializer
                      )
                  )
              self._write_checkpoint(sess)
              return [self.evaluate(var) for var in all_vars]
  
imports: import os
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.feature_column import feature_column_lib
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import checkpoint_utils
  from tensorflow.python.training import saver
  from tensorflow.python.training import warm_starting_util
label_desc: Use image node_id 4 for calling the WarmStartingUtilTest obj's underlying member method code with example usage: obj._create_prev_run_vars(var_names, shapes, initializers) and returns: unknown