def dummy_inputs(self):
        """
        Dummy inputs to build the network.

        Returns:
            tf.Tensor with dummy inputs
        """
        batch_size = 2
        num_visual_features = 10
        input_ids = tf.constant([[3, 5, 6], [2, 3, 4]], dtype=tf.int32)
        visual_feats = tf.random.uniform((batch_size, num_visual_features, self.config.visual_feat_dim))
        visual_pos = tf.random.uniform((batch_size, num_visual_features, 4))

        return {
            "input_ids": input_ids,
            "visual_feats": visual_feats,
            "visual_pos": visual_pos,
        }

        Dummy inputs to build the network.

        Returns:
            tf.Tensor with dummy inputs
        
dpkd/transformers/src/transformers/models/lxmert/modeling_tf_lxmert.py