code: def init(
      model: Model[InT, OutT],
      X: Optional[InT] = None,
      Y: Optional[OutT] = None,
  ) -> None:
      if X is not None:
          model.set_dim("nI", get_width(X[0]))
      # Initialize weights to 1
      W = model.ops.alloc1f(model.get_dim("nI"))
      W += 1
      model.set_param("W", W)
  
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 3 for calling a global function with example usage: init(model, X, Y) without return types