dad71ab422adaccc93d4b239cd15feaa87ec4073,keras/layers/preprocessing/discretization.py,Discretization,build,#Discretization#Any#,205

Before Change

        shape=(initial_bins.size,),
        dtype=tf.float32,
        initializer=tf.compat.v1.constant_initializer(initial_bins))
    super(Discretization, self).build(input_shape)

  def get_config(self):
    config = {
        "bin_boundaries": self.bin_boundaries,

After Change

    if self.stateful:
      // Summary contains two equal length vectors of bins at index 0 and weights
      // at index 1.
      self.summary = self.add_weight(
          name="summary",
          shape=(2, None),
          dtype=tf.float32,
          initializer=lambda shape, dtype: [[], []],  // pylint: disable=unused-arguments
          trainable=False)

    self.built = True

  def update_state(self, data):

Instances