code: def get_synchronous_execution():
      """Gets whether operations are executed synchronously or asynchronously.
  
      TensorFlow can execute operations synchronously or asynchronously. If
      asynchronous execution is enabled, operations may return "non-ready" handles.
  
      Returns:
        Current thread execution mode
      """
      return context.context().execution_mode == context.SYNC
  
imports: from typing import Union
  from tensorflow.python.eager import context
  from tensorflow.python.framework import errors
  from tensorflow.python.util import _pywrap_determinism
  from tensorflow.python.util import _pywrap_tensor_float_32_execution
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 15 for calling a global function with example usage: get_synchronous_execution() and returns: unknown