code: def compute_output_spec(self, *args, **kwargs):
      try:
          return backend.compute_output_spec(self.call, *args, **kwargs)
      except Exception as e:
          if isinstance(e, TypeError):
              raise e
          else:
              new_e = RuntimeError(
                  "Could not automatically infer the output shape / dtype of "
                  f"'{self.name}' (of type {self.__class__.__name__}). "
                  f"Either the `{self.__class__.__name__}.call()` method "
                  f"is incorrect, or you need to implement the "
                  f"`{self.__class__.__name__}.compute_output_spec() / "
                  "compute_output_shape()` method. "
                  f"Error encountered:\n\n{e}"
              )
              raise new_e.with_traceback(e.__traceback__) from None
  
imports: import inspect
  import textwrap
  import tree
  from keras import backend
  from keras.api_export import keras_export
  from keras.backend.common.keras_tensor import any_symbolic_tensors
  from keras.ops.node import Node
  from keras.utils import python_utils
  from keras.utils import traceback_utils
  from keras.utils.naming import auto_name
label_desc: Use image node_id 5 for calling the Operation obj's underlying member method code with example usage: obj.compute_output_spec() and returns: backend