code: def get_loss(
      self, guesses: Floats2d, truths: IntsOrFloatsOrStrs
  ) -> float:
      d_truth = self.get_grad(guesses, truths)
      return self._get_loss_from_grad(d_truth)
  
imports: from abc import abstractmethod
  from typing import Any, Dict, Generic, List, Optional, Sequence, Tuple, TypeVar, Union, cast
  from .config import registry
  from .types import Floats2d, Ints1d
  from .util import get_array_module, to_categorical
label_desc: Use image node_id 5 for calling the CategoricalCrossentropy obj's underlying member method code with example usage: obj.get_loss(guesses, truths) and returns: self