code: def CauchySimilarity(nI: Optional[int] = None) -> Model[InT, OutT]:
      """Compare input vectors according to the Cauchy similarity function proposed by
      Chen (2013). Primarily used within Siamese neural networks.
      """
      return Model(
          "cauchy_similarity",
          forward,
          init=init,
          dims={"nI": nI, "nO": 1},
          params={"W": None},
      )
  
file_path: thinc/thinc/layers/cauchysimilarity.py
imports: from typing import Callable, Optional, Tuple, cast
  from ..config import registry
  from ..model import Model
  from ..types import Floats1d, Floats2d
  from ..util import get_width
label_desc: Use image node_id 1 for calling a global function with example usage: CauchySimilarity(nI) and returns: Model