src/transformers/models/tapas/modeling_tf_tapas.py/TFTapasComputeColumnLogits/__init__
class TFTapasComputeColumnLogits:    def __init__(self, config: TapasConfig, **kwargs):
        super().__init__(**kwargs)

        with tf.name_scope("column_output"):
            self.column_output_weights = self.add_weight(
                name="column_output_weights",
                shape=[config.hidden_size],
                dtype=tf.float32,
                trainable=True,
                initializer=tf.zeros_initializer()
                if config.init_cell_selection_weights_to_zero
                else tf.keras.initializers.TruncatedNormal(stddev=config.initializer_range),
            )
            self.column_output_bias = self.add_weight(
                name="column_output_bias", shape=(), trainable=True, initializer=tf.zeros_initializer()
            )