code: def get_loss(
      self,
      guesses: Sequence[Floats2d],
      truths: Sequence[IntsOrFloatsOrStrs],
  ) -> float:
      return self._get_loss_from_grad(self.get_grad(guesses, truths))
  
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 4 for calling the SequenceCategoricalCrossentropy obj's underlying member method code with example usage: obj.get_loss(guesses, truths) and returns: self