code: def ReluK(
      nO: Optional[int] = None,
      nI: Optional[int] = None,
      *,
      init_W: Optional[Callable] = None,
      init_b: Optional[Callable] = None,
      dropout: Optional[float] = None,
      normalize: bool = False,
      k: float = 6.0,
  ) -> Model[Floats2d, Floats2d]:
      if init_W is None:
          init_W = glorot_uniform_init
      if init_b is None:
          init_b = zero_init
      return ClippedLinear(
          nO=nO,
          nI=nI,
          init_W=init_W,
          dropout=dropout,
          normalize=normalize,
          min_val=0.0,
          max_val=k,
      )
  
file_path: thinc/thinc/layers/clipped_linear.py
imports: from typing import Callable, Optional, Tuple, cast
  from ..config import registry
  from ..initializers import glorot_uniform_init, zero_init
  from ..model import Model
  from ..types import Floats1d, Floats2d
  from ..util import get_width, partial
  from .chain import chain
  from .dropout import Dropout
  from .layernorm import LayerNorm
label_desc: Use image node_id 6 for calling a global function with example usage: ReluK(nO, nI) and returns: ClippedLinear