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