tensorflow_lattice/python/pwl_calibration_layer.py [365:378]:
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    if self.impute_missing:
      if self.missing_input_value is not None:
        self._missing_input_value_tensor = tf.constant(
            self.missing_input_value,
            dtype=self.dtype,
            name=MISSING_INPUT_VALUE_NAME)
      else:
        self._missing_input_value_tensor = None

      if self.missing_output_value is not None:
        self.missing_output = tf.constant(
            self.missing_output_value, shape=[1, self.units], dtype=self.dtype)
      else:
        missing_init = (self._output_init_min + self._output_init_max) / 2.0
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tensorflow_lattice/python/pwl_calibration_sonnet_module.py [255:268]:
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    if self.impute_missing:
      if self.missing_input_value is not None:
        self._missing_input_value_tensor = tf.constant(
            self.missing_input_value,
            dtype=self.dtype,
            name=MISSING_INPUT_VALUE_NAME)
      else:
        self._missing_input_value_tensor = None

      if self.missing_output_value is not None:
        self.missing_output = tf.constant(
            self.missing_output_value, shape=[1, self.units], dtype=self.dtype)
      else:
        missing_init = (self._output_init_min + self._output_init_max) / 2.0
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