code: def testWarmStart_ListOfStrings(self):
      # Save checkpoint from which to warm-start.
      _, prev_int_val = self._create_prev_run_var(
          "v1", shape=[10, 1], initializer=ones()
      )
      # Verify we initialized the values correctly.
      self.assertAllEqual(np.ones([10, 1]), prev_int_val)
  
      # New graph, new session with warm-starting.
      with ops.Graph().as_default() as g:
          with self.session(graph=g) as sess:
              # Initialize with zeros.
              var = variable_scope.get_variable(
                  "v1", shape=[10, 1], initializer=zeros()
              )
              ws_util.warm_start(
                  self.get_temp_dir(), vars_to_warm_start=["v1"]
              )
              self.evaluate(variables.global_variables_initializer())
              # Verify weights were correctly warm-started (init overridden to ones).
              self.assertAllEqual(var, prev_int_val)
  
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 22 for calling the WarmStartingUtilTest obj's underlying member method code with example usage: obj.testWarmStart_ListOfStrings() without return types