code: def ThresholdToBinary(threshold=0.5):
      """Returns a layer that thresholds inputs to yield outputs in {0, 1}."""
  
      def f(model_output):  # pylint: disable=invalid-name
          return (model_output > threshold).astype(jnp.int32)
  
      return Fn("ThresholdToBinary", f)
  
imports: from absl import logging
  import numpy
  import tensorflow
  from trax import fastmath
  from trax.fastmath import numpy
  from trax.layers import base
  from trax.layers import initializers
  from trax.layers.assert_shape import assert_shape
  from trax.layers.base import Fn
label_desc: Use image node_id 11 for calling a global function with example usage: ThresholdToBinary(threshold) and returns: Fn, unknown