code: def configure_SequenceCategoricalCrossentropy_v1(
      *, normalize: bool = True, names: Optional[Sequence[str]] = None
  ) -> SequenceCategoricalCrossentropy:
      return SequenceCategoricalCrossentropy(
          normalize=normalize, names=names
      )
  
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 a global function with example usage: configure_SequenceCategoricalCrossentropy_v1() and returns: SequenceCategoricalCrossentropy