src/transformers/models/lxmert/modeling_tf_lxmert.py/TFLxmertVisualFeatureEncoder/call
class TFLxmertVisualFeatureEncoder:    def call(self, visn_input, training=False):
        feats, boxes = visn_input

        x = self.visn_fc(feats)
        x = self.visn_layer_norm(x)
        y = self.box_fc(boxes)
        y = self.box_layer_norm(y)
        output = (x + y) / 2

        output = self.dropout(output, training=training)
        return output