docstr: Update cluster when other remote function calls are being launched.
docstr_tok: ["Update","cluster","when","other","remote","function","calls","are","being","launched","."]
code: def testMultiThreadPendingNodesServerReplaced(self):
      """Update cluster when other remote function calls are being launched."""
      with ops.device(self.device_local):
          x1 = array_ops.ones([2, 2])
  
      num_calls = 10
      lock = threading.Lock()
  
      @def_function.function
      def worker_fn(i):
          return math_ops.matmul(i, i)
  
      def thread_fn(device, results):
          for i in range(num_calls):
              lock.acquire()
              with ops.device(device):
                  y = worker_fn(x1)
              results[i] = y.numpy()
              lock.release()
  
      def update_server_def_fn():
          for i in range(num_calls):
              lock.acquire()
              context.update_server_def(
                  server_def=(
                      self.server_def_s1_s2
                      if i % 2 == 0
                      else self.server_def_s1_s3
                  )
              )
              lock.release()
  
      t1_results = [None] * num_calls
      t2_results = [None] * num_calls
      threads = []
      threads.append(
          threading.Thread(
              target=thread_fn, args=(self.device_t1, t1_results)
          )
      )
      threads.append(
          threading.Thread(
              target=thread_fn, args=(self.device_t2, t2_results)
          )
      )
      threads.append(threading.Thread(target=update_server_def_fn))
      for t in threads:
          t.start()
      for t in threads:
          t.join()
      for result in t1_results + t2_results:
          np.testing.assert_array_equal([[2, 2], [2, 2]], result)
  
imports: import os
  import threading
  from absl.testing import parameterized
  import numpy
  from tensorflow.core.distributed_runtime.preemption import gen_check_preemption_op
  from tensorflow.core.protobuf import cluster_pb2
  from tensorflow.core.protobuf import tensorflow_server_pb2
  from tensorflow.python import pywrap_tfe
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import executor
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import coordinator
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 14 for calling the DynamicClusterTest obj's underlying member method code with example usage: obj.testMultiThreadPendingNodesServerReplaced() and returns: math_ops