code: def __call__(self, *args, **kwargs):
      def call_fn(*args, **kwargs):
          if not any_symbolic_tensors(args, kwargs):
              try:
                  return self.call(*args, **kwargs)
              except (TypeError, ValueError):
                  # fallback on symbolic case
                  pass
          return self.symbolic_call(*args, **kwargs)
  
      if traceback_utils.is_traceback_filtering_enabled():
          # Wrap self.call to provide helpful info in case of exception
          call_fn = traceback_utils.inject_argument_info_in_traceback(
              call_fn,
              object_name=(f"{self.__class__.__name__}.call()"),
          )
          return call_fn(*args, **kwargs)
  
      # Plain flow.
      return call_fn(*args, **kwargs)
  
imports: import numpy
  from keras import backend
  from keras.api_export import keras_export
  from keras.backend import KerasTensor
  from keras.backend import any_symbolic_tensors
  from keras.ops.operation import Operation
  from keras.utils import traceback_utils
label_desc: Use image node_id 1 for calling the Cond obj's underlying member method code with example usage: obj.__call__() and returns: call_fn, self, call_fn, self